Books Published originally in other languages, here they are translated1) Sherstobitov A., Marchuk V., Voronin V., Semenishchev E. Method and algorithms for extracting a useful signal in case of a background noise. Monograph, Publisher: RIO RTIST "SRSUES" (Rostov-on-Don), 114 P., 2012.2) Voronin V., Marchuk V. The methods and algorithms for image reconstruction with incomplete prior information. Monograph / ed. V.I. Marchuk. SRSUES, Shakhty, 89 P., 2010, ISBN 978-5-93834-629-1. Book chapters3) Mkrttchian V., Voronin V. Digital Technology Advancements in Knowledge Management. Chapter 7: Digital Technology Advancements in Knowledge Management in Domestic Tour Products in the Russian Federation: Theoretical and Methodological Aspects. IGI Global, 2021, Pages: 315, DOI: 10.4018/978-1-7998-6792-0.ch007. 4) Mkrttchian V., Dmitry D., Voronin V. Digitalization of Decentralized Supply Chains During Global Crises. Chapter 8: The Perspectives of Supply Chain Management Using Natural Knowledge From 3D Blockchain Technologies and Avatar-Based and Geographic Information Systems (GIS). IGI Global, 2021, Pages: 254, DOI: 10.4018/978-1-7998-6874-3.ch008. Published originally in other languages, here they are translated5) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A. Practical aspects of digital signal processing. Monograph, Publisher: SRSUES, Shakhty, 207 P., 2007, ISBN 978-5-93834-330-6.6) Marchuk V.I., Voronin V.V. Information, telecommunication and software digital signal processing. Monograph, Publisher: SRSUES, Shakhty, 155 P., 2008, ISBN 978-5-93834-399-3.7) Marchuk V.I., Voronin V.V. Theoretical and practical aspects of digital signal processing in information and telecommunication systems. Monograph, Publisher: SRSUES, Shakhty, 281 P., 2009, ISBN 978-5-93834-511-9.8) Voronin V.V., Marchuk V.I., Egiazaryan K.O., Gapon N.V. Digital signal processing and its technical application in telecommunication systems. Monograph, Publisher: SRSUES, Shakhty, 212 P., 2010, - ISBN 978-5-93834-642-0.9) Marchuk V.I., Voronin V.V., Sherstobitov A.I., Semenishchev E.A. Methods of digital signal processing for solving applied problems. Monograph, Publisher: Radio Engineering, Moscow, 128 P., 2012, ISBN 978-5-88070-303-6.10) Voronin V.V., Marchuk V.I., Egiazaryan K.O., Sherstobitov A.I. Modern methods of analysis and synthesis of optimal systems, signal processing algorithms in information, navigation and control systems. Monograph, Publisher: RIO RTIST "SRSUES", Rostov-on-Don, 124 P., 2012, ISBN 978-5-91403-057-2.11) Voronin V.V., Marchuk V.I., Franz V.A., Sizyakin R.A. Practical aspects of signal processing in telecommunication systems. Monograph, Publisher: RIO RTIST "SRSUES", Rostov-on-Don, 96 P., 2013.12) Sizyakin R.A., Voronin V.V., Marchuk V.I., Gapon N.V., Folomkin D.A. Processing and signal conversion in radio engineering and infocommunication systems. Monograph, Publisher: Radio and communication, Moscow, 448 P., 2014, ISBN 978-5-89776-019-0.13) Voronin V.V., Franz V.A. Communication networks for underwater autonomous robotic systems. Monograph, Publisher: Southern Federal University, Rostov-on-Don, 178 P., 2018, ISBN: 978-5-9275-2793-9.14) Ibadov R.R., Ibadov S.R., Voronin V.V., Fedosov V.P. Radar systems for special and civil purposes. 2018–2020. Monograph, Publisher: Radio Engineering, Moscow, 444 P., 2018, ISBN 978-5-93108-182-3. Peer-reviewed journal articles1) Zhang Y., Zhang F., Jin Y., Cen Y., Voronin V., Wan S. Local Correlation Ensemble with GCN based on Attention Features for Cross-domain Person Re-ID. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022. https://doi.org/10.1145/3542820 (Q1, Impact factor 4,15)2) Zelensky A.A., Gapon N.V., Zhdanova M.M., Voronin V.V., Ilyukhin Y.V. Depth Map Reconstruction Method in Control Problems for Robots and Mechatronic Systems. Mekhatronika, Avtomatizatsiya, Upravlenie. 2022;23(2):104-112. (In Russ.) https://doi.org/10.17587/mau.23.104-112 (Q3, Impact factor 0,39)3) Wang, S., Chen, Y., Cen, Y., Zhang L., Wang H., Voronin V. Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering. Applied Intelligence, (2022). https://doi.org/10.1007/s10489-022-03406-6 (Q2, Impact factor 5,442) 4) Wang S., Chen Y., Zhang L., Cen Y., Voronin V. Hyper-Laplacian Regularized Nonconvex Low-rank Representation for Multi-view Subspace Clustering. IEEE Transactions on Signal and Information Processing over, 2022. 10.1109/TSIPN.2022.3169633 (Q1, Impact factor 3,59)5) Afanasyev V., Chernyshenko V., Kuzmin V., Voronin V., Mkrttchian V. Advanced information technology for development of electric power market. The International Journal of Advanced Manufacturing Technology, 2021. https://doi.org/10.1007/s00170-021-07324-8 (Q1, Impact factor 2,601)6) Voronin V., Zhdanova M., Semenishchev E., Zelenskii A., Cen Y., Agaian S. Action recognition for the robotics and manufacturing automation using 3-D binary micro-block difference. The International Journal of Advanced Manufacturing Technology, 2021. https://doi.org/10.21203/rs.3.rs-189925/v1(Q1, Impact factor 2,601)7) Jin Y., Zhang Y., Cen Y., Li Y., Mladenovic V., Voronin V. Pedestrian detection with super-resolution reconstruction for low-quality image. Pattern Recognition, Volume 115, July 2021, 107846. https://doi.org/10.1016/j.patcog.2021.107846 (Q1, Impact factor 7,19) 8) Voronin V., Zelensky A., Agaian S. 3-D Block-Rooting Scheme with Application to Medical Image Enhancement. IEEE Access, Vol. 9, pp. 3880 - 3893, 2020. DOI: 10.1109/ACCESS.2020.3047461. (Q1, Impact factor 3,745)9) Sizyakin R., Cornelis B., Meeus L., Dubois H., Martens M., Voronin V., Pizurica A. Crack detection in paintings using convolutional neural networks. IEEE Access, Vol. 8, pp. 74535 - 74552, 2020, DOI: 10.1109/ACCESS.2020.2988856. (Q1, Impact factor 3,745)10) Zelenskii A.A., Pismenskova M.M., Voronin V.V. Control of Collaborative Robot Systems and Flexible Production Cells on the Basis of Deep Learning. Russian Engineering Research, Vol. 39, No. 12, p. 1065-1069, 2019.11) Richter A., Ignatiev V.Y., Kazaryan M., Voronin V., Shakhramanyan M. Method of slicing the pictures of varying size areas and its usage in the construction of time series images in the problem of waste disposal objects space monitoring. Serbian journal of electrical engineering, vol. 16(1), pp. 123-136, 2019. 12) Feng W., Cen Y., Zeng X., Li Z., Zeng M. and Voronin V. Object tracking based on adaptive updating of a spatial-temporal context model. KSII Transactions on Internet and Information Systems, vol. 11(11), pp. 5459-5473, 2017. 13) Wang Y., Cen Y., Zhao R., Cen Y., Hu S., Voronin V., Wang H. Separable vocabulary and feature fusion for image retrieval based on sparse representation. Neurocomputing, vol. 236, pp. 14-22, 2017. (Q1, Impact factor 6,19)14) Wang H., Cen Y., Zhao R., Voronin V., Zhang F., Wang Y. Fast smooth rank function approximation based on matrix tri-factorization. Neurocomputing, vol. 257, pp. 144-153, 2017. (Q1, Impact factor 6,19)15) Chao S., Gang Y., Cen Y., Wang Y., Voronin V., Mladenovic V., Zeng M. SURF binarization and fast codebook construction for image retrieval. Journal of Visual Communication and Image Representation, vol. 49, pp. 104-114, 2017.16) Hayrapetyan S., Karapetyan G., Voronin V., Sarukhanyan H. Combination of Single Image Super Resolution and Digital Inpainting Algorithms Based on GANs for robust image completion. Serbian journal of electrical engineering, vol. 14(3), pp. 379-386, 2017. 17) Krutov V., Bezuglov D., Voronin V. Television images identification in the vision system basis on the mathematical apparatus of cubic normalized B-splines. Serbian journal of electrical engineering, vol. 14(3), pp. 387-399, 2017. 18) Voronin V., Balabaeva O., Tokareva S., Semenishchev E., Dub V. Medical image segmentation using modified active contour method. Serbian journal of electrical engineering, vol. 14(3), pp. 401-413, 2017. 19) Mladenovic V., Makov S., Voronin V., Lutovac M. An iteration-based simulation method for getting semi-symbolic solution of non-coherent FSK/ASK system by using computer algebra systems. Studies in Informatics and Control, vol. 25(3), 2016. 20) Li A., Miao Z., Cen Y., Wang T., Voronin V. Histogram of maximal optical flow projection for abnormal events detection in crowded scenes. International Journal of Distributed Sensor Networks, vol. 2015, 2015.21) Voronin V.V., Marchuk V.I., Sherstobitov A.I., Semenishchev E.A., Frantc V.A. Image reconstruction on the basis of a textural geometrical model. Pattern Recognition and Image Analysis, vol. 25(3), pp. 1–10, 2015. 22) Marchuk V.I., Voronin V.V., Frantc V.A. Development of 2D adaptive method of estimation reproduction for image reconstruction in incomplete a priori information. Telecommunications and Radio Engineering, vol. 72, Issue 13, pp. 1255-1262, 2013. Published originally in other languages, here they are translated23) Zelensky A.A., Abdullin T.K., Zhdanova M.M., Voronin V.V., Gribkov A.A. Challenge of the performance management of trust control systems with deep learning. Advanced Engineering Research. 22(1), pp. 57-66, 2022. https://doi.org/10.23947/2687-1653-2022-22-1-57-6624) Zelensky A.A., Zhdanova M.M., Abdullin T.K., Voronin V.V. Virtual Interface Technology in the Process of Simulation of Complex Functional Modules of Control Systems for Industrial Robots and Multi-Axis Mechatronic Systems. Proceedings of the Southwest State University. 26(1), pp. 92-115, 2022. (In Russ.) https://doi.org/10.21869/2223-1560-2022-26-1-92-11525) Zelensky A.A., Pismenskova M.M., Voronin V.V. The control method of collaborative robotic complexes and flexible production cells based on the construction of a biomechanical three-dimensional human model for recognizing actions using depth learning technologies. STIN, vol. 7, pp. 12-15, 2019.26) Bezuglov D.A., Voronin V.V., Mishchenko S.E., Yukhnov V.I. Algorithm for the contour detection on television images distorted by impulse noise using a spline approximation. Scientific and technical Volga region bulletin, vol. 1, pp. 97-102, 2019.27) Bezuglov D.A., Voronin V.V., Mishchenko S.E., Yukhnov V.I. Analysis of the effectiveness of the algorithm for the contour detection on the of television images using spline approximation. Scientific and technical Volga region bulletin, vol. 2, pp. 73-77, 2019.28) Ibadov R.R., Ibadov S.R., Katkov D.N., Voronin V.V., Fedosov V.P. Recognition and restoration of fingerprints. News SFU. Engineering Sciences, vol. 3, pp. 6-14, 2018. 29) Zelensky A.A., Pismenskova M.M., Voronin V.V. Image search algorithm in the form of hash functions based on deep neural network technologies. Reports of Tomsk State University of Control Systems and Radioelectronics, vol. 21(3), pp. 57-62, 2018.30) Voronin V., Marchuk V., Semenishchev E., Makov S, Gapon N. Algorithm for stabilization of video sequences based on reconstruction of pixel values. Scientific and technical herald of Volga, №6, pp. 113-116, 2016.31) Voronin V., Marchuk V., Gapon N., Sizyakin R., Folomkin D. Restoring video sequences with dynamic scenes. Scientific and technical Volga region bulletin, vol. 5, pp. 174-177, 2015.32) Voronin V., Semenishchev E., Franz V., Svirin I. Image recovering using texture-geometric-based model. Fundamental research, vol. 12 (part 1), pp. 17-21, 2015.33) Voronin V., Adigamov K, Cherkasov R, Sizyakin R., Gapon N. Quality assessment of loose mix materials with different grain size. Modern problems of science and education, vol. 2 (part 2), 2015.34) Voronin V. Quality assessment for image inpainting based on machine learning. Modern problems of science and education, vol. 6, 2014. URL: http://www.science-education.ru/120-16294.35) Voronin V., Fisunov A., Marchuk V., Svirin I., Petrov S. Depth map recovery using a combination of multi-channel image processing. Modern problems of science and education, vol. 6, 2014. 36) Voronin V. System quality criteria of recovered two-dimensional signals. Scientific and technical Volga region bulletin, vol. 6, pp. 114-117. 2014.37) Sizyakin R., Voronin V., Marchuk V., Ibadov S., Ibadov R., Svirin I. Detection and reconstruction of defects in the photos based on local binary patterns. Scientific and technical Volga region bulletin, vol. 6, pp. 333-336, 2014.38) Krivenko S., Lukin V., Eremeev O., Voronin V., Marchuk V. Faster processing and algorithms when filtering images based on DCT. Southern Federal University. SFU news. Technical science, vol. 1, pp. 67-74, 2013. 39) Voronin V., Ryzhov V. A Systematic approach for signal and image processing. The success of modern electronics. Radio technology, vol. 5, pp. 12-16, 2013.40) Frantc V., Levina O., Voronin V., Kozhin R. Depth map image preprocessing. The success of modern electronics. Radio technology, vol. 5, pp. 39-43, 2013.41) Voronin V., Morozova T., Pismenskova M. The algorithms for searching similar blocks in the image. The success of modern electronics. Radio technology, vol. 5, pp. 44-55, 2013.42) Frantc V., Voronin V., Marchuk V., Pismenskova M. Investigation of the video reconstruction method based on the scene model. The success of modern electronics. Radio technology, vol. 5, pp. 53-58, 2013.43) Voronin V. The image compression method based on texture synthesis. Scientific and technical Volga region bulletin, vol. 5, pp. 140-143, 2013.44) Voronin V. Development and research algorithm for computing the depth maps of stereo image. Southern Federal University. Technical science, vol. 11, pp. 58-66, 2013.45) Voronin V. The method of image reconstruction based on interpolation of the boundaries of objects using cubic splines. The success of modern electronics, Publishing House of Radio Engineering, vol. 6, pp. 26-30, 2012. 46) Voronin V., Marchuk V., Frantc V., Gapon N. Investigation of the method for image reconstruction based on interpolation of the boundaries of objects using cubic splines. The success of modern electronics, Publishing House of Radio Engineering, vol. 6, pp. 31-34, 2012.47) Sizyakin R., Voronin V., Marchuk V, Frantc V. Video processing based contour analysis in order to detect distorted pixels. The success of modern electronics, Publishing House of Radio Engineering, vol. 6, pp. 40-46, 2012.48) Sizyakin R., Voronin V., Marchuk V., Gapon N. Automatic detection of vertical scratches on archival videos. The success of modern electronics, Publishing House of Radio Engineering, vol. 6, pp. 46-51, 2012.49) Frantc V., Voronin V., Fisunov A. The depth map and its application in the problem of tracking moving objects. The success of modern electronics, Publishing House of Radio Engineering, vol. 6, pp. 57-61, 2012.50) Voronin V. The method of image reconstruction using textural analysis. Scientific and technical Volga region bulletin, vol. 5, pp. 121-123, 2012. 51) Voronin V., Marchuk V., Frantc V., Gapon N., Sizyakin R. Investigation of the image reconstruction method using textural analysis. Scientific and technical Volga region bulletin, vol. 5, pp. 124-127, 2012. 52) Voronin V. Automated detection of defects in the reconstruction of archival photographs. Scientific and technical statements STU, vol. 6, pp. 50-54, 2012.53) Voronin V., Marchuk V., Pismenskova M., Morozova T. Image matching with reflective surfaces using ASIFT descriptors. The non-linear world, Publishing House of Radio Engineering, vol. 10, pp. 782-789, 2012.54) Voronin V., Marchuk V., Franz V., Gapon N. Reconstruction of video sequences using a background model. The non-linear world, Publishing House of Radio Engineering, vol. 10, pp. 777-781, 2012.55) Marchuk V., Voronin V., Frantc V. The modified method of restoring two-dimensional signals. Scientific and technical statements STU, vol. 1, pp. 31-36, 2011.56) Voronin V., Marchuk V., Saakyan G. The method of constructing a composite curve for restoration of boundaries of objects in the image. The success of modern electronics, Publishing House of Radio Engineering, vol. 9, pp. 11-15, 2011.57) Voronin V., Marchuk V., Gapon N., Sizyakin R. The method of the 2D reconstruction of archival photographs. The success of modern electronics, Publishing House of Radio Engineering, vol. 9, pp. 16-19, 2011.58) Marchuk V., Voronin V., Sherstobitov A. Error estimation of signal denoising in a limited amount of a priori information. Radio engineering, Publishing House of Radio Engineering, vol. 9, pp. 75- 82, 2011.59) Voronin V.V., Sizyakin R.A., Gapon N.V., Frantc V.A., Kolosov Y.A. Image reconstruction algorithm based on the analysis of local binary patterns. Engineering Herald of the Don, vol. 3, 2013.60) Voronin V.V., Adigamov K.A., Petrenko S.S., Sizyakin R.A. Criteria and methods for assessing the quality of mixing bulk materials. Engineering Herald of the Don, vol. 4, pp. 36-74, 2012.61) Marchuk V.I., Voronin V.V., Sherstobitov A.I. A method of reconstructing the values of two-dimensional signals based on the synthesis of texture and image structure. Electrical and information systems and systems, vol. 2(6), pp. 25–33, 2010.62) Manzhula V.G., Krutchinsky S.G., Savenko A.V., Voronin V.V. Interferometric interface of the system for determining the relative coordinates of radio-emitting objects. Engineering Herald of the Don, vol. 3, pp. 399-406, 2012.63) Marchuk V.I., Voronin V.V., Frantc V.A. Development of an adaptive two-dimensional method for the propagation of estimates in image restoration under conditions of incomplete a priori information. Telecommunications, Publishing House of Science and Technology, vol. 9, pp. 33–37, 2011.64) Frantc V.A., Voronin V.V., Marchuk V.I., Fisunov A.V. Pismenskova M.M. An algorithm for constructing the trajectory of objects in a video stream based on an optical stream. Engineering Herald of the Don, vol. 3, 2013.65) Voronin V.V., Pomortsev P.M., Kuznetsov A.A., Motyko A.A. A method for reconstructing video signals based on an adaptive two-dimensional method of multiplying estimates. Scientific and technical Volga region bulletin, vol. 6, pp. 189-192, 2012. 66) Marchuk V.I., Voronin V.V. Processing of black and white images based on the two-dimensional method of propagation of estimates of the useful component. News SFU. Technical science, vol. 3 (80), pp. 131-137, 2008. 67) Marchuk V.I., Voronin V.V. Reconstruction of the values of the lost image pixels in conditions of limited a priori information. Scientific and technical statements of SPbSPU, vol. 1, pp. 51–55, 2009. 68) Adigamov K.A., Voronin V.V., Derkachev I.S., Sizyakin R.A., Gapon N.V. Algorithm and operation program for determining roughness stone surface after polishing. Modern problems of science and education, vol. 1, 2015.69) Totsky A.V., Marchuk V.I., Voronin V.V. Recognition of mobile ground-based radar objects from the time-frequency distributions of backscatter signals. Successes of modern radio electronics. Radio Engineering, vol. 6, pp. 23-30, 2013.70) Voronin V.V., Morozova T.V., Makhov D.S., Samoilin E.A., Minasyan D.G. Searching the local features in images using texture characteristics. Non-linear world. Publishing House of Radio Engineering, vol. 11, pp. 744 – 750, 2012. 71) Sizyakin R.A., Voronin V.V., Marchuk V.I., Gapon N.V. Image processing for defects detecting based on the Gabor transform. Successes of modern radio electronics. Radio engineering, vol. 6, pp. 59-63, 2013.72) Tokareva S.V., Voronin V.V. The ability to increase the reliability of evaluating the results of photometric measurements. Scientific and technical Volga region bulletin, vol. 5, pp. 301 – 304, 2013.73) Ibadov R.R., Ibadov S.R., Voronin V.V., Fedosov V.P. A modified image reconstruction method based on the similar areas searching. News SFU, vol. 6 (191), pp. 179-189, 2017.74) Marchuk V.I., Voronin V.V., Sherstobitov A.I. A comparative analysis of the results of image restoration using the two-dimensional method of multiplying estimates and its modifications. Electrical and information systems and systems, vol. 1, pp. 26-30, 2010. Conference articles75) Sizyakin R., Voronin V., Pižurica A. Virtual restoration of paintings based on deep learning. Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV); 120841G, 2022, https://doi.org/10.1117/12.262437176) Zelensky A., Voronin V., Gapon N., Semenishchev E., Egipko V., Khamidullin I. 3D reconstruction for SLAM using multisensor fusion and block-based inpainting. Proc. SPIE Photonics Europe 12138, Optics, Photonics and Digital Technologies for Imaging Applications VII, 121380X, 2022; https://doi.org/10.1117/12.262590577) Zelensky A., Voronin V., Zhdanova M., Gapon N., Tokareva O., Semenishchev E. Multi-level deep learning depth and color fusion for action recognition. Proc. SPIE Photonics Europe 12138, Optics, Photonics and Digital Technologies for Imaging Applications VII, 121380Y, 2022; https://doi.org/10.1117/12.262600078) Kazaryan M., Semenishchev E., Voronin V. Global intelligent system for waste disposal objects monitoring using the discrete orthogonal transformations based on neural network remote sensing image processing. Proc. SPIE Photonics Europe 12138, Optics, Photonics and Digital Technologies for Imaging Applications VII, 121380V, 2022; https://doi.org/10.1117/12.262549179) Semenishchev E., Zelensky A., Alepko A., Zdanova M., Voronin V. Technique for analyzing the working table on a robotic complex based on the study of point data in a two-dimensional measurement space. Proc. SPIE Photonics Europe 12138, Optics, Photonics and Digital Technologies for Imaging Applications VII, 121380W, 2022; https://doi.org/10.1117/12.262583680) Zelensky A., Zhukov S., Zhukova O., Zdanova M., Voronin V., Semenishchev E. Algorithm for the automated determination of the forms to electrical discharge processes used to analyze the formed electrolyte plasma and predict the properties of the formed metal oxide layers", Proc. SPIE 12136, Unconventional Optical Imaging III, 1213616, 2022; https://doi.org/10.1117/12.262583781) Semenishchev E., Voronin V., Kurbakov M., Lyakhov D., Egipko V., Zelensky A. Formation of a method and algorithm for automated analysis of the degree of attention and concentration of a person. Proc. SPIE 12101, Pattern Recognition and Tracking XXXIII, 121010L, 2022; https://doi.org/10.1117/12.262305182) Voronin V., Zelensky A., Zhdanova M., Semenishchev E., Frantc V., Siryakov A. Quality assessment with deep learning for imaging applications. Proc. SPIE 12100, Multimodal Image Exploitation and Learning 2022, 121000P, 2022; https://doi.org/10.1117/12.261980183) Voronin V., Frantc V., Semenishchev E., Zhdanova M., Zelensky A., Agaian S. 3D shape object reconstruction with non-Lambertian surface from multiple views based on deep learning. Proc. SPIE 12100, Multimodal Image Exploitation and Learning 2022, 121000S, 2022; https://doi.org/10.1117/12.262313084) Semenishchev E., Agaian S., Zelensky A., Surkov E., Khamidullin I., Voronin V. Modification of the method of multicriteria image processing for preprocessing thermal imaging images with adaptive change in filtering parameters based on neural network approaches. Proc. SPIE 12100, Multimodal Image Exploitation and Learning 2022, 121000R, 2022; https://doi.org/10.1117/12.262305085) Kazaryan M., Semenishchev E., Voronin V. The underground surface analysis of waste disposal objects based on the neural network image processing methods. Proc. SPIE 12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII, 1209410, 2022; https://doi.org/10.1117/12.262080786) Zelensky A., Semenishchev E., Agaian S., Gracheva I., Siryakov A., Voronin V. Algorithm for the automated construction of the movement curve of the working tool with the possibility of interpolation of the step function of the displacement used to control gantry machines. Proc. SPIE 12124, Unmanned Systems Technology XXIV, 121240N, 2022; https://doi.org/10.1117/12.262304887) Semenishchev E., Agaian S., Zelensky A., Orlov D., Zdanova M., Voronin V. Algorithm for creating a single image of the cutting machine processing field and automated object detection when cutting parts. Proc. SPIE 12124, Unmanned Systems Technology XXIV, 121240M, 2022; https://doi.org/10.1117/12.262304688) Semenishchev E., Voronin V., Zelensky A., Agaian S., Zdanova M., Mitugov N. Algorithm for the formation of closed contours of objects represented by small piecewise-discontinuous functions for the tasks of constructing stable features and automated selection of areas of complex shape when processing scenes obtained in the infrared and optical ranges. Proc. SPIE 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, 121220W, 2022; doi: 10.1117/12.262304989) Voronin V., Zhdanova M., Zelensky A., Agaian S. No-reference transform-based quality assessment for imaging applications. Proc. SPIE, Multimodal Image Exploitation and Learning, Volume 11734, Paper number 1173405, 2021; https://doi.org/10.1117/12.258800090) Voronin V., Gapon N., Semenishchev E., Zelensky A., Agaian S. A block-based method for the remote sensing images cloud detection and removal. Proc. SPIE, Multimodal Image Exploitation and Learning, Volume 11734, Paper number 117340K, 2021; https://doi.org/10.1117/12.258869191) Voronin V., Semenishchev E., Zelensky A., Agaian S. Block-based contrast enhancement method for medical application. Proc. SPIE 11734, Multimodal Image Exploitation and Learning 2021, 117340R (12 April 2021); https://doi.org/10.1117/12.258857492) Semenishchev E., Voronin V., Zelensky A., Alepko A., Zhdanova M., Agaian S. Determination of tool cutting surface quality from analysis on a group of images and the combined data. Proc. SPIE, Multimodal Image Exploitation and Learning, Volume 11734, Paper number 117340A, 2021; https://doi.org/10.1117/12.258780493) Pivkin P., Grechishnikov V., Minin I., Ershov A., Voronin V., Nadykto A., Grigoriev S. A new approach for controlling of curved cutting edges of toroid-shaped end-milling cutter. Proc. SPIE, Dimensional Optical Metrology and Inspection for Practical Applications X, Volume 11732, Paper number 117320B, 2021; https://doi.org/10.1117/12.258869994) Kazaryan M., Voronin V. Satellite image processing based on percolation for physicochemical analysis of soil cover of industrial waste facilities. Proc. SPIE, Sensors and Systems for Space Applications XIV, Volume 11755, Paper number 117550W, 2021; https://doi.org/10.1117/12.258776995) Semenishchev E., Voronin V., Agaian S., Alepko A., Zelensky A. Algorithm for the automated determination of heating areas during metal processing with numerically controlled machines. Proc. SPIE, Dimensional Optical Metrology and Inspection for Practical Applications X, Volume 11732, Paper number 117320D, 2021; https://doi.org/10.1117/12.258834496) Zhdanova M., Voronin V., Semenishchev E., Ilyukhin Yu., Zelensky A. Human action recognition with 3D local binary patterns and dense micro-block difference description. Proc. SPIE, Automatic Target Recognition XXXI, Volume 11729, Paper number 117290H, 2021; https://doi.org/10.1117/12.258829197) Semenishchev E., Voronin V., Agaian S., Zhdanova M., Zelensky A. Algorithm for fusing data obtained by thermal, 3D, and the visible range cameras. Proc. SPIE, Dimensional Optical Metrology and Inspection for Practical Applications X, Volume 11732, Paper number 117320E, 2021; https://doi.org/10.1117/12.258792298) Voronin V., Sizyakin R., Zhdanova M., Semenishchev E., Bezuglov D., Zelenskii A. Automated visual inspection of fabric image using deep learning approach for defect detection. Proc. SPIE, Automated Visual Inspection and Machine Vision IV, Volume 11787, Paper number 117870P, 2021; https://doi.org/10.1117/12.259287299) Naumov I., Sinakin M., Sinakina O., Voronin V. Using augmented reality devices for remote maintenance and repair of industrial equipment as new challenges in the COVID-19 pandemic. Proc. SPIE, Digital Optical Technologies, Volume 11788, Paper number 1178806, 2021; https://doi.org/10.1117/12.2593444100) Semenishchev E., Voronin V., Zelensky A, Ilyukhin Y., Budyakov A., Agaian S. Algorithm for the automated analysis of the shape of objects located on the cutting table of industrial robotic systems. Proc. SPIE, Optical Measurement Systems for Industrial Inspection XII, Volume 11782, Paper number 117821Y, 2021; https://doi.org/10.1117/12.2593411101) Gapon N., Voronin V., Semenishchev E., Ilyukhin Yu., Bezuglov D., Zelenskii A. Multimodal image inpainting for an autonomous robot navigation application. Proc. SPIE, Multimodal Sensing and Artificial Intelligence: Technologies and Applications II, Volume 11785, Paper number 117850Y, 2021; https://doi.org/10.1117/12.2594476. 102) Naumov I., Sinakin M., Voronin V., Gapon N. Development of a smartphone-based augmented reality device for industrial tasks. Proc. SPIE, Automated Visual Inspection and Machine Vision IV, Volume 11787, Paper number 117870R, 2021; https://doi.org/10.1117/12.2593448103) Semenishchev E., Voronin V., Alepko A., Urunov S., Agaian S., Zelensky A. Algorithm of stitching and fusion image in PCB analysis. Proc. SPIE, Optics and Photonics for Information Processing XV, Volume11841, Paper number 118410W, 2021; https://doi.org/10.1117/12.2598357104) Voronin V., Semenishchev E., Zelensky A., Tokareva O., Cen Y., Agaian S. Transform-based quality assessment for enhanced image. Proc. SPIE, Applications of Digital Image Processing XLIV, Volume 11842, Paper number 118422G, 2021; https://doi.org/10.1117/12.2598321105) Kazaryan M., Semenishchev E., Voronin V. Research of the impact of solid domestic and industrial waste on the snow and ice coverage of mountain territories of the Northern Caucasus using remote sensing technology. Proc. SPIE, Earth Observing Systems XXVI, Volume 11829, Paper number 118291C, 2021; https://doi.org/10.1117/12.2598314106) Wang S., Chen Y., Ce Y., Zhang L., Voronin V. Low-Rank And Sparse Tensor Representation For Multi-View Subspace Clustering. 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 1534-1538, doi: 10.1109/ICIP42928.2021.9506640.107) Kazaryan M., Semenishchev E., Voronin V. The discrete system of Fibonacci functions for the constructions of a global automated system for monitoring objects littering the environment using remote sensing. Proc. SPIE, Image and Signal Processing for Remote Sensing XXVII, Volume 11862, Paper number 1186206, 2021; https://doi.org/10.1117/12.2600720108) Semenishchev E., Voronin V., Alepko A., Zelensky A., Agaian S. Development of methods for parallel processing of series of images obtained by a machine vision system in various electromagnetic ranges. Proc. SPIE, Optical Instrument Science, Technology, and Applications II, Volume 11876, Paper number 118760P, 2021; https://doi.org/10.1117/12.2600693109) Zelensky A., Semenishchev E., Alepko A., Abdullin T., Ilyukhin Y., Voronin V. Using neuro-accelerators on FPGAs in collaborative robotics tasks. Proc. SPIE, Optical Instrument Science, Technology, and Applications II, Volume 11876, Paper number 118760O, 2021; https://doi.org/10.1117/12.2600582110) Semenishchev E., Voronin V., Zelensky A., Alepko A., Agaian S. Improving the accuracy of combining pairs of thermal images based on the analysis of visual information. Proc. SPIE, Electro-Optical and Infrared Systems: Technology and Applications XVIII and Electro-Optical Remote Sensing XV, Volume 11866, Paper number 118660C, 2021; https://doi.org/10.1117/12.2600585111) Zelenskii A., Gapon N., Voronin V., Semenishchev E., Khamidullin I., Cen Y. Robot navigation using modified SLAM procedure based on depth image reconstruction. Proc. SPIE, Artificial Intelligence and Machine Learning in Defense Applications III, Volume 11870, Paper number 118700H, 2021; https://doi.org/10.1117/12.2600736112) Sizyakin R., Voronin V., Gapon N., Zelensky A., Pizurica A. A Deep Learning-Based Approach for Defect Detection and Removing on Archival Photos. Electronic Imaging, Society for Imaging Science and Technology, DOI: https://doi.org/10.2352/ISSN.2470-1173.2020.10.IPAS-029, 2020.113) Voronin V., Zhdanova M., Semenishchev E., Zelensky A., Agaian S. An active contour model for medical image segmentation using a quaternion framework. Electronic Imaging, Society for Imaging Science and Technology, DOI: https://doi.org/10.2352/ISSN.2470-1173.2020.10.IPAS-062, 2020.114) Semenishchev E., Voronin V., Zelensky A., Tolstova I. Creation of a fusion image obtained in different electromagnetic ranges used in industrial robotic systems. Electronic Imaging, Society for Imaging Science and Technology, DOI: https://doi.org/10.2352/ISSN.2470-1173.2020.6.IRIACV-015, 2020.115) Zhdanova M., Voronin V., Semenishchev E., Balabaeva O., Zelensky A. Near-infrared image enhancement through multi-scale alpha-rooting processing for remote sensing application. Proceedings Volume 11510, SPIE Optical Engineering + Applications, Applications of Digital Image Processing XLIII; 1151032 (2020) https://doi.org/10.1117/12.2571601116) Zhdanova M., Voronin V., Semenishchev E., Balabaeva O., Zelensky A. Gastric polyps detection based on endoscopic video using modified dense micro-block difference descriptor. Proceedings Volume 11511, SPIE Optical Engineering + Applications, Applications of Machine Learning 2020; 115110D (2020) https://doi.org/10.1117/12.2571398117) Semenishchev E., Voronin V., Zelensky A., Balabaeva O., Gavlicky A. The algorithm searching for local features on pairs of thermal images used for the process of stitching. Proc. SPIE 11503, Infrared Sensors, Devices, and Applications X, 1150313; https://doi.org/10.1117/12.2571702118) Voronin V., Gapon N., Zhdanova M., Semenishchev E., Cen Y., Zelensky A. Missing area reconstruction in 3D scene from multi-view satellite images for surveillance applications. Proc. SPIE 11542, SPIE Security + Defence, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV, 115420P; https://doi.org/10.1117/12.2574208119) Voronin V., Gapon N., Khamidullin I., Tokareva O., Cen Y., Zelensky A. Infrared image inpainting using hypercomplex analysis. Proc. SPIE 11537, SPIE Security + Defence, Electro-Optical and Infrared Systems: Technology and Applications XVII, 115370U; https://doi.org/10.1117/12.2574642120) Semenishchev E., Voronin V., Balabaeva O., Gavlicky A., Gapon N. Modification of the method of obtaining the equidistant curve with the possibility of changing its shape according to given criterion for use with thermal images. Proc. SPIE 11537, SPIE Security + Defence, Electro-Optical and Infrared Systems: Technology and Applications XVII, 115370P (20 September 2020); https://doi.org/10.1117/12.2574374121) Zhdanova M., Voronin V., Semenishchev E., Ilyukhin Yu., Zelensky A. Human activity recognition for efficient human-robot collaboration. Proceedings Volume 11543, SPIE Security + Defence, Artificial Intelligence and Machine Learning in Defense Applications II; 115430K (2020) https://doi.org/10.1117/12.2574133122) Kazaryan M., Shakhramanyan M., Voronin V. Analysis of the underlying surface of waste disposal facilities using remote sensing technologies. Proceedings Volume 11533, SPIE Remote Sensing, Image and Signal Processing for Remote Sensing XXVI; 115331K (2020) https://doi.org/10.1117/12.2574135123) Semenishchev E., Voronin V., Agaian S., Zelensky A., Zhdanova M. Solving the problem of quickly separating objects into thermal structures in IR images based on analyzing temperature gradients. Proceedings Volume 11537, SPIE Security + Defence, Electro-Optical and Infrared Systems: Technology and Applications XVII; 115370O (2020) https://doi.org/10.1117/12.2574190124) Semenishchev E., Voronin V., Agaian S., Zelensky A., Ilyukhin U., Zhdanova M. Algorithm for image enhancement and subsequent stitching of combined multichannel images. Proceedings Volume 11533, SPIE Remote Sensing, Image and Signal Processing for Remote Sensing XXVI; 1153307 (2020) https://doi.org/10.1117/12.2574197125) Sizyakin R., Voronin V., Gapon N., Pizurica A. A deep learning approach to crack detection on road surfaces. Proceedings Volume 11543, SPIE Security + Defence, Artificial Intelligence and Machine Learning in Defense Applications II; 115430P (2020) https://doi.org/10.1117/12.2574131126) Voronin V., Semenishchev E., Cen Y., Zelensky A., Agaian S. Image enhancement in a quaternion framework for remote sensing applications. Proceedings Volume 11543, Artificial Intelligence and Machine Learning in Defense Applications II; SPIE Security + Defence; 115430Q (2020) https://doi.org/10.1117/12.2574242 127) Zhdanova M.M., Balabaeva O.S., Voronin V.V., Semenishchev E.A., Zelensky A.A. Improvement of the Human Action Recognition Algorithm by the Pre-processing of Input Data. IOP Conference Series: Materials Science and Engineering, Volume 1029, Dynamics of Technical Systems (DTS 2020). 128) Bezuglov D., Voronin V. Image denoising with bank filters using the maximum likelihood estimation. Proceedings Volume 11396, SPIE Defense + Commercial Sensing, Computational Imaging V; 113960T, (2020), https://doi.org/10.1117/12.2561033.129) Semenishchev E.A., Voronin V., Sos A., Zelensky A., Tolstova I. The combined denoising of images on the optical and thermal range onboard the UAV. Proceedings Volume 11401, SPIE Defense + Commercial Sensing, Real-Time Image Processing and Deep Learning 2020; 114010G (2020), https://doi.org/10.1117/12.2558482130) Voronin V., Zhdanova M., Semenishchev E., Zelensky A., Tokareva O. Fusion of color and depth information for human actions recognition. Proceedings Volume 11423, SPIE Defense + Commercial Sensing, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX; 114231C (2020), https://doi.org/10.1117/12.2560130131) Semenishchev E., Voronin V., Zelensky A., Zhdanova M., Tolstova I. Automatic search for thermal energy leaks in the form of thin gaps during the audit of buildings based on mobile systems. Proceedings Volume 11399, SPIE Defense + Commercial Sensing, Mobile Multimedia/Image Processing, Security, and Applications 2020; 113990U, (2020) https://doi.org/10.1117/12.2559057132) Voronin V., Semenishchev E., Zelensky A., Tokareva O., Agaian S. Image segmentation in a quaternion framework for remote sensing applications. Proceedings Volume 11399, SPIE Defense + Commercial Sensing, Mobile Multimedia/Image Processing, Security, and Applications 2020; 113990G, (2020) https://doi.org/10.1117/12.2556314133) Semenishchev E., Voronin V., Zelensky A., Tolstova I., Khamidullin I. Identification of local features on a group of images obtained in different electromagnetic ranges. Proceedings Volume 11423, SPIE Defense + Commercial Sensing, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX; 114230L, (2020) https://doi.org/10.1117/12.2558484134) Kazaryan M., Voronin V. Research of percolation at objects for waste disposal according to space image data. Proceedings Volume 11397, SPIE Defense + Commercial Sensing, Dimensional Optical Metrology and Inspection for Practical Applications IX; 113970K, (2020), https://doi.org/10.1117/12.2558427.135) Semenishchev E., Voronin V., Zelensky A., Shraifel I. Algorithm for image stitching in the infrared. Proc. SPIE 11002, Infrared Technology and Applications XLV, 110022H, 2019. (doi.org/10.1117/12.2519537).136) Semenishchev E.A., Voronin V.V., Zelensky A.A. Combining images near-infrared and visible data from cameras UAV. Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 109861Z, 2019. (doi.org/10.1117/12.2519538).137) Semenishchev E., Agaian S., Voronin V., Pismenskova M., Zelensky A., Tolstova I. Thermal image stitching for examination industrial buildings. Proc. SPIE 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019, 109930M, 2019. (doi.org/10.1117/12.2519275).138) Semenishchev E., Voronin V., Zelensky A., Shraifel I., Balabaeva O. An algorithm to improve the accuracy of the search of the boundaries for objects obtained in the x-ray. Proc. SPIE, volume 10999, Anomaly Detection and Imaging with X-Rays (ADIX) IV, 109990O, 2019. (doi.org/10.1117/12.2519544).139) Voronin V., Semenishchev E., Zelensky A., Agaian S. Quaternion-based local and global color image enhancement algorithm. Proc. SPIE 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019, 1099304, 2019. (doi.org/10.1117/12.2519574).140) Voronin V., Franc V., Zelensky A., Agaian S. Video quality assessment using generative adversarial network. Proc. SPIE 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019, 109930S, 2019. (doi.org/10.1117/12.2519575).141) Voronin V., Semenishchev E., Pismenskova M., Balabaeva O., Agaian S. Medical image segmentation by combing the local, global enhancement, and active contour model. Proc. SPIE 10999, Anomaly Detection and Imaging with X-Rays (ADIX) IV, 109990Q, 2019. (doi.org/10.1117/12.2519584).142) Bezuglov D., Voronin V., Mishchenko S. Spatial image filtering using spline approximation in the case of impulse noise. Proc. SPIE 10990, Computational Imaging IV, 109900Y, 2019. (doi.org/10.1117/12.2519681).143) Fedosov V.P., Ibadov R.R., Ibadov S.R., Voronin V.V. Restoration of the Blind Zone of the Image of the Underlying Surface for Radar Systems with Doppler Beam Sharpening. 2019 Radiation and Scattering of Electromagnetic Waves (RSEMW), 2019.144) Voronin V., Zelensky A., Agaian S. Feedback Alfa-Rooting Algorithm for Medical Image Enhancement. Electronic Imaging, Image Processing: Algorithms and Systems XVII, pp. 223-1-223-6(6), 2019.145) Voronin V., Zelensky A., Agaian S. The quaternion-based anisotropic gradient for the color images. Electronic Imaging, Image Processing: Algorithms and Systems XVII, pp. 277-1-277-6(6), 2019.146) Voronin V., Semenishchev E., Zelensky A., Agaian S. Specular reflection detection algorithm for endoscopic images. Electronic Imaging, Image Processing: Algorithms and Systems XVII, pp. 222-1-222-6(6), 2019.147) Sizyakin R., Voronin V., Gapon N., Zelensky A., Pižurica A. Automatic detection of welding defects using the convolutional neural network. Proc. SPIE 11061, Automated Visual Inspection and Machine Vision III, 110610E, 2019. (doi.org/10.1117/12.2525643).148) Gapon N., Voronin V., Sizyakin R., Pismenskova M., Nadykto A. Video block error recovery using modified patch-based inpainting. Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410D, 2019. (doi.org/10.1117/12.2522808).149) Sizyakin R., Voronin V., Gapon N., Pismenskova M., Nadykto A. A blotch detection method for archive video restoration using a neural network. Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410W, 2019. (doi.org/10.1117/12.2522807). 150) Ponomarenko M., Gapon N., Voronin V., Egiazarian K. Blind estimation of white Gaussian noise variance in highly textured images. Electronic Imaging, Image Processing: Algorithms and Systems XVI, pp. 1-5(5). (doi.org/10.2352/ISSN.2470-1173.2018.13.IPAS-382).151) Wan Q., Paramathma S., Kaszowska A., Voronin V., Panetta K., Taylor H., Agaian S. Face description using anisotropic gradient: thermal infrared to visible face recognition. Proc. SPIE 10668, Mobile Multimedia/Image Processing, Security, and Applications 2018, 106680V, 2018. (doi.org/10.1117/12.2304898).152) Semenishchev E., Voronin V., Shraifel I., Tolstova I., Chernishchov D. The solution of the problem of simplifying the images for the subsequent minimization of the image bit depth. Proceedings of International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2018 Plzen, pp. 67-72, 2018. (doi.org/10.24132/CSRN.2018.2803.10).153) Babikov A.Yu., Voronin V.V., Ryzhov V.P., Ryzhov Yu.V. Compression for texture images in different basis functions using system criteria analysis. Proceedings of International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2018 Plzen, pp. 73-76, 2018. (doi.org/10.24132/CSRN.2018.2803.11).154) Voronin V., Tokareva S., Semenishchev E., Agaian S. Thermal image enhancement algorithm using local and global logarithmic transform histogram matching with spatial equalization. Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 5-8, 2018. (doi: 10.1109/SSIAI.2018.8470344).155) Voronin V., Semenishchev E., Balabaeva O., Pismenskova M. Preprocessing images and restore the contours of objects obtained in the infrared range. Proceedings of the IEEE 14th international conference on signal processing, pp. 430-433, 2018.156) Voronin V., Semenishchev E., Tokareva S., Zelenskiy A., Agaian S. Underwater image enhancement algorithm based on logarithmic transform histogram matching with spatial equalization. Proceedings of the IEEE 14th international conference on signal processing, pp. 434-438, 2018.157) Frantc V., Voronin V., Semenishchev E., Minkin M., Delov A. A no-reference image and video visual quality metric based on machine learning. Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106961Y, 2018. (doi: 10.1117/12.2309517).158) Semenishchev E., Voronin V., Dub V., Balabaeva O. Reducing noise component on medical images. Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 2018. (doi: 10.1117/12.2309536).159) Voronin V., Semenishchev E., Frants V. and Agaian S. Smart cloud system for forensic thermal image enhancement using local and global logarithmic transform histogram matching. Proceedings of the IEEE International Conference on Smart Cloud, pp. 153-157, 2018. (doi 10.1109/SmartCloud.2018.00033).160) Frants V., Voronin V., Zelenskiy A. and Agaian S. Blind visual quality assessment for smart cloud-based video storage. Proceedings of the IEEE International Conference on Smart Cloud, pp. 171-174, 2018. (10.1109/SmartCloud.2018.00036).161) Zelensky A., Voronin V., Svirin I., Semenishchev E., Alepko A. Video content verification using blockchain technology. Proceedings of the IEEE International Conference on Smart Cloud, pp. 208-212, 2018. (10.1109/SmartCloud.2018.00042).162) Voronin V., Pismenskova M., Zelensky A., Gapon N., Cen Yigang, Egiazarian K. Action recognition using the 3D dense microblock difference. Proc. SPIE Security + Defence, Proceedings Volume 10802, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II, 108020O, 2018. (doi.org/10.1117/12.2326801).163) Voronin V., Sizyakin R., Zelensky A., Nadykto A., Svirin I. Detection of deleted frames on videos using a 3D convolutional neural network. Proc. SPIE Security + Defence, Proceedings Volume 10802, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II, 108020U, 2018. (doi.org/10.1117/12.2326806).164) Semenishchev E., Voronin V., Balabaeva O. Stitching of IR images into a single content based on data which analysis obtained by an optical camera. Proc. SPIE Security + Defence, Proceedings Volume 10795, Electro-Optical and Infrared Systems: Technology and Applications XV, 1079508, 2018. (doi.org/10.1117/12.2326839).165) Kazaryan M., Shahramanian M., Voronin V. The automated space-monitoring system of waste disposal sites. Proc. SPIE Remote Sensing, Proceedings Volume 10793, Remote Sensing Technologies and Applications in Urban Environments III; 1079318, 2018. (doi.org/10.1117/12.2500059).166) Voronin V.V., Balabaeva O.S., Pismenskova M.M., Tokareva S.V. and Tolstova I.V. Contour detection in an infrared image using the modified snake algorithm. MATEC Web Conf., 226, 2018. (doi: https://doi.org/10.1051/matecconf/201822604049).167) Bezuglov D.A., Voronin V.V., Krutov V.A. Images denoising in case impulse noise using spline approximation. MATEC Web Conf., 226, 2018. (doi: https://doi.org/10.1051/matecconf/201822604045).168) Voronin V., Marchuk V., Semenishchev E., Cen Y., Agaian S. Medical image segmentation using 3D MRI data. Proc. SPIE 10221, Mobile Multimedia/Image Processing, Security, and Applications 2017, 102210A, 2017. (doi: 10.1117/12.2262857). 169) Galustov G.G., Voronin V.V. The synthesis of the correlation function of pseudorandom binary numbers at the output shift register. Proc. SPIE 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, 102001G, 2017. (doi:10.1117/12.2263590). 170) Fedosov V.P., Lomakina A.V., Legin A.A., Voronin V.V. Three-dimensional model of hydro acoustic channel for research MIMO systems. Proc. SPIE 10186, Ocean Sensing and Monitoring IX, 101860W, 2017. (doi:10.1117/12.2262458).171) Semenishchev E.A., Voronin V.V., Marchuk V.V., Tolstova I.V. Method for stitching microbial images using a neural network. Proc. SPIE 10221, Mobile Multimedia/Image Processing, Security, and Applications 2017, 102210O, 2017. (doi:10.1117/12.2262498).172) Semenishchev E.A., Voronin V.V., Marchuk V.I. Image denoising and deblurring using multispectral data. Proc. SPIE 10198, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 101981G, 2017. (doi:10.1117/12.2262510). 173) Richter A.A., Kazaryan M.L., Shakhramanyan M.A., Voronin V.V. Pattern recognition algorithm using descriptors combined radio and visible spectra. Proc. SPIE 10221, Mobile Multimedia/Image Processing, Security, and Applications 2017, 1022107, 2017. (doi:10.1117/12.2262875).174) Wang Y., Cen Y., Liang L., Zhang L., Voronin V., Mladenovic V. Fusion of Deep Features and Weighted VLAD Vectors based on Multiple Features for Image Retrieval. MATEC Web Conf. Volume 132, 2017, XIII International Scientific-Technical Conference “Dynamic of Technical Systems” (DTS-2017), (2017). (doi.org/10.1051/matecconf/201713205002).175) Pismenskova M., Balabaeva O., Voronin V., Fedosov V. Classification of a two-dimensional pose using a human skeleton. MATEC Web Conf. Volume 132, 2017, XIII International Scientific-Technical Conference “Dynamic of Technical Systems” (DTS-2017), (2017). (doi.org/10.1051/matecconf/201713205016). 176) Voronin V.V., Ryzhov V., Marchuk V.I., Makov S.V. Texture representations in different basis functions for image synthesis using system criteria analysis. IS&T D International Symposium on Electronic Imaging, Image Processing: Algorithms and Systems XIV, pp. 1-6(6), 2017.177) Makov S., Minaev A., Nikitin A., Voronin V., Semenishchev E., Marchuk V. Feature representation learning by sparse neural network for multi-camera person re-identification. IS&T International Symposium on Electronic Imaging, Image Processing: Algorithms and Systems XIV, pp. 1-6(6), 2017.178) Fedosov V.P., Voronin V.V., Legin A.A., Lomakina A.V., Kovtun D.G. The study of algorithms reducing the level of out-of-band radiation and inter carrier interference of the OFDM signal. IS&T International Symposium on Electronic Imaging, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, pp. 1-6(6), 2017.179) Semenishchev E.A., Shraifel I.S., Voronin V.V., Epishina E.V. Computation of equidistant curve for the image with blurred contours. IS&T International Symposium on Electronic Imaging, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, pp. 1-6(6), 2017. 180) Semenishchev E.A., Voronin V.V., Marchuk V.I., Marchuk V.I. Search the optimal border for combination of image pairs using neural networks. IS&T International Symposium on Electronic Imaging, Image Processing: Algorithms and Systems XIV, pp. 1-6(6), 2017.181) Frantc V.A., Makov S.V., Voronin V.V., Marchuk V.I., Stradanchenko S., Egiazarian K.O. Video segmentation in presence of static and dynamic textures. IS&T International Symposium on Electronic Imaging, Image Processing: Algorithms and Systems XIV, pp. 1-6(6), 2016. (doi: 10.2352/ISSN.2470-1173.2016.15.IPAS-187).182) Voronin V.V., Sizyakin R., Marchuk V.I., Yigang Cen, Galustov G., Egiazarian K.O. Video inpainting of complex scenes based on local statistical model. IS&T International Symposium on Electronic Imaging, Image Processing: Algorithms and Systems XIV, pp. 1-6(6), 2016. (doi: 10.2352/ISSN.2470-1173.2016.15.IPAS-193).183) Fedosov V.P., Voronin V.V., Rubtsov R.V. Algorithm of out-of-band radiation reduction. IS&T International Symposium on Electronic Imaging, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, pp. 1-7(7), 2016. (doi: 10.2352/ISSN.2470-1173.2016.7MOBMU-287).184) Voronin V.V., Marchuk V.I., Semenishchev E.A., Makov S., Creutzburg R. Digital inpainting with applications to forensic image and video processing. IS&T International Symposium on Electronic Imaging, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, pp. 1-7(7), 2016. (doi: 10.2352/ISSN.2470-1173.2016.7MOBMU-289).185) Makov S., Frantc V., Voronin V., Shrayfel I.S., Dubovskov V., Svirin I. Energy efficient algorithm for lookup-tables on mobile devices. IS&T International Symposium on Electronic Imaging, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, pp. 1-6(6), 2016. (doi: 10.2352/ISSN.2470-1173.2016.7MOBMU-290).186) Makov S., Nikitin A., Minaev A., Voronin V., Svirin I. Method of Additional Information Encapsulation into Digital Audio Channel with Minimal Loss of Original Signal Quality. Proceedings of IEEE East-West Design & Test Symposium (EWDTS’2016), pp. 335-338, 2016.187) Marchuk V., Makov S., Minaev A., Voronin V., Chernyshov D. Removing of Systematic Measurement Errors Caused by Asymmetric Distribution Law of the Noise Component. Proceedings of IEEE East-West Design & Test Symposium (EWDTS’2016), pp. 339-342, 2016.188) Bezuglov D., Kuzin A., Voronin V. Contour detection based on wavelet differentiation, Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690Q, 2016. (dx.doi.org/10.1117/12.2224282).189) Voronin V., Marchuk V., Sizyakin R., Gapon N., Pismenskova M., Tokareva S. Automatic image cracks detection and removal on mobile devices, Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690R, 2016. (dx.doi.org/10.1117/12.2224339).190) Voronin V., Frantc V., Marchuk V., Shrayfel I., Gapon N., Agaian S. Video stabilization using space-time video completion, Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 986908, 2016. (dx.doi.org/10.1117/12.2220378).191) Fedosov V.P., Lomakina A.V., Legin A.A., Voronin V.V. Modeling of systems wireless data transmission based on antenna arrays in underwater acoustic channels, Proc. SPIE 9872, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2016, 98720G, 2016. (dx.doi.org/10.1117/12.2224263).192) Frantc V.A., Makov S.V., Voronin V.V., Marchuk V.I., Semenishchev E.A., Egiazarian K.O., Agaian S. Simultenious binary hash and features learning for image retrieval, Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 986902, 2016. (dx.doi.org/10.1117/12.2223605).193) Frantc V.V., Makov S.V., Voronin V.V., Marchuk V.I., Svirin I. Separate texture and structure processing for image compression, Proc. SPIE 9874, Remotely Sensed Data Compression, Communications, and Processing XII, 98740T, 2016. (dx.doi.org/10.1117/12.2223628).194) Semenishchev E., Marchuk V., Voronin V., Pismenskova M., Tolstova I., Svirin I. The algorithm stitching for medical imaging, Proc. SPIE 9870, Computational Imaging, 98700M, 2016. (dx.doi.org/10.1117/12.2224422).195) Voronin V., Marchuk V., Bezuglov D., Butakova M. Inpainting Strategies for Reconstruction of Missing Data in Images and Videos: Techniques, Algorithms and Quality. Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16), Advances in Intelligent Systems and Computing 451, pp. 163-174, 2016. (doi 10.1007/978-3-319-33816-3_17).196) Galustov G., Voronin V., Makov S. Parameters estimation of random sequence in the stochastic calculating devices. Proceedings of Papers 23rd Telecommunications Forum (TELFOR), pp. 670-673, 2015.197) Voronin V.V., Marchuk V.I., Gapon N.V., Zhuravlev A.V., Maslennikov S., Stradanchenko S. Inpainting for videos with dynamic objects using texture and structure reconstruction. Proc. SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015, 94970Y, 2015. (doi: 10.1117/12.2076509).198) Svirin I.S., Epishina E.V., Voronin V.V., Semenishchev E.A., Solodova E.N., Nabilskaya N.V. Assessment of heart rate variability based on mobile device for planning physical activity. Proc. SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015, 94970Z, 2015. (doi: 10.1117/12.2179746).199) Voronin V.V., Marchuk V.I., Petrosov S.P., Svirin I., Agaian S., Egiazarian K. Image restoration using 2D autoregressive texture model and structure curve construction. Proc. SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015, 949706, 2015. (doi: 10.1117/12.2076508).200) Zhuravlev А., Razevig V., Vasiliev I., Ivashov S., Voronin V. ISAR for concealed objects imaging. Proc. SPIE 9401, Computational Imaging XIII, 94010I, 2015. (doi:10.1117/12.2081761).201) Voronin V.V., Marchuk V.I., Fisunov A.V., Tokareva S.V., Egiazarian K.O. Depth map occlusion filling and scene reconstruction using modified exemplar-based inpainting. Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII, 93990S, 2015. (dx.doi.org/10.1117/12.2076506).202) Voronin V.V., Frantc V.A., Marchuk V.I., Sherstobitov A.I., Egiazarian K. No-reference visual quality assessment for image inpainting. Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII, 93990U, 2015. (dx.doi.org/10.1117/12.2076507).203) Makov S.V., Marchuk V.I., Voronin V.V., Frantc V.A., Obukhovets V.A. A method for ultra fast searching within traffic filtering tables in networking hardware. Proc. SPIE 9410, Visual Information Processing and Communication VI, 94100M, 2015. (dx.doi.org/10.1117/12.2083022).204) Voronin V.V., Gapon N.V., Svirin I.S., Epishina E.V., Rostikov S.V. Smart processing of 2D signal in the analysis of panoramic images. ISJ Theoretical & Applied Science, vol. 11 (19), pp. 84-87, 2014. (doi: http://dx.doi.org/10.15863/TAS.2014.11.19.16).205) Voronin V., Frantc V., Marchuk V., Gapon N., Sizyakin R., Fedosov V. Low-level Features For Inpainting Quality Assessment. Proceedings of 2014 IEEE 12th International Conference on signal processing, pp. 643-647, 2014.206) Voronin V., Shraifel I., Marchuk V., Tokareva S., Sherstobitov A. Image inpainting with structure and texture propagation. Proceedings of 2014 IEEE 12th International Conference on signal processing, pp. 658-661, 2014.207) Sherstobitov A., Timofeev D., Marchuk V., Voronin V., Fedosov V. Texture image classification based on using descriptor of indexes. Proceedings of 2014 IEEE 12th International Conference on signal processing, pp. 1358-1362, 2014.208) Voronin V., Fisunov A., Marchuk V., Tokareva S., Levina O. Kinect depth map restoration using modified exemplar-based inpainting. Proceedings of 2014 IEEE 12th International Conference on signal processing, pp. 1175-1179, 2014.209) Voronin V.V., Marchuk V.I., Gapon N.V., Sizyakin R.A., Sherstobitov A.I., Egiazarian K.O. Exemplar-based inpainting using local binary patterns. Proc. of SPIE, Image Processing: Algorithms and Systems XII, Vol. 9019, 901907, 2014. (doi: 10.1117/12.2038556).210) Sherstobitov A.I., Marchuk V.I., Timofeev D.V., Voronin V.V., Egiazarian K.O. Local feature descriptor based on 2D local polynomial approximation kernel indices. Proc. of SPIE, Image Processing: Algorithms and Systems XII, Vol. 9019, 901908, 2014. (doi: 10.1117/12.2041610).211) Voronin V.V., Marchuk V.I., Sherstobitov A.I., Semenischev E.A., Agaian S., Egiazarian K. Image extrapolation for photo stitching using nonlocal patch-based inpainting. Proc. of SPIE, Mobile Multimedia/Image Processing, Security, and Applications 2014, Vol. 9120, 91200W, 2014. (doi:10.1117/12.2063667).212) Frantc V.A., Voronin V.V., Marchuk V.I., Sherstobitov A.I., Agaian S., Egiazarian K. Machine learning approach for objective inpainting quality assessment. Proc. of SPIE, Mobile Multimedia/Image Processing, Security, and Applications 2014, Vol. 9120, 91200S, 2014. (doi: 10.1117/12.2063664).213) Sherstobitov A.I., Marchuk V.I., Timofeev D.V., Voronin V.V., Egiazarian K.O., Agaian S.S. Texture descriptor based on local approximations. Proc. of SPIE, Mobile Multimedia/Image Processing, Security, and Applications 2014, Vol. 9120, 91200V, 2014. (doi: 10.1117/12.2063666).214) Voronin V.V., Marchuck V.I., Frantc V.A., Egiazarian K.O. Image reconstruction based on texture analysis. 11th International conference on Patten Recognition and Image Analysis: New informational Technologies (PRIA-11-2013), pp.765-768, 2013. 215) Voronin V.V., Frantc V.A., Marchuck V.I., Egiazarian K.O. Fast texture and structure image reconstruction using the perceptual hash. Proc. of SPIE, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, vol. 8655, 2013. (doi: 10.1117/12.2002829).216) Voronin V.V., Frantc V.A., Marchuck V.I., Egiazarian K.O. Video inpainting using scene model and object tracking. Proc. of SPIE, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, vol. 8655, 2013. (doi: 10.1117/12.2004719).217) Voronin V.V., Marchuk V.I., Egiazarian K.O., Frantc V.A. Image inpainting algorithm based on edge reconstruction. Proc. of 2012 IEEE 11th International Conference on signal processing, pp. 659-662, 2012. (doi: 10.1109/ICoSP.2012.6491574).218) Voronin V.V., Marchuk V.I., Egiazarian K.O., Sherstobitov A.I. Image inpainting using cubic spline-based edge reconstruction. Proc. of SPIE, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, vol. 8295, 2012. (doi: 10.1117/12.905791).219) Voronin V.V., Marchuk V.I., Egiazarian K.O. Images reconstruction using modified exemplar based method. Proc. of SPIE, Image Processing: Algorithms and Systems IX, vol. 7870, 2011. (doi: 10.1117/12.871890). Patents1) Gapon N.V., Voronin V.V., Sizyakin R.A., Zhdanova M.M., Semenishchev E.A. An image compression device based on the pixel reconstruction method. Patent for invention №2750416, RU, 2021.2) Voronin V.V., Gapon N.V., Zhdanova M.M., Sizyakin R.A., Semenishchev E.A. An image reconstruction device in quaternion space using an anisotropic gradient and a neural network. Patent for invention №2754965, RU, 2021.3) Semenishchev E.A., Voronin V.V., Gapon N.V., Sizyakin R.A., Zhdanova M.M., Tolstova I.V. A device for searching for local features on pairs of infrared images with their subsequent merging. Patent for invention №2756573, RU, 2021.4) Semenishchev E.A., Voronin V.V., Gapon N.V., Sizyakin R.A., Zhdanova M.M., Tolstova I.V. Infrared image fusion device. Patent for invention №2718211, RU, 2020.5) Semenishchev E.A., Voronin V.V., Gapon N.V., Sizyakin R.A., Zhdanova M.M., Tolstova I.V. A device for detecting locally stationary areas in an image. Patent for invention №2718429, RU, 2020.6) Ibadov I.I., Fedosov V.P., Voronin V.V. Papillary fingerprint recovery device. Patent for invention №2718426, RU, 2020.7) Bezuglov D.A., Voronin V.V., Krutov V.A. The method of noise-resistant gradient selection of the objects contours in digital grayscale images. Patent for invention №2695417, RU, 2019. 8) Voronin V.V., Semenishchev E.A., Gapon N.V., Sizyakin R.A., Pismenkova M.M., Balabaeva O.S. The device for image quality enhancement. Patent for invention №2695424, RU, 2019.9) Voronin V.V., Sizyakin R.A., Gapon N.V., Semenishchev E.A. The device for removing logos and subtitles on the video sequences. Patent for invention № 2669470, RU, 2018.10) Voronin V.V., Gapon N.V., Pismenkova M.M., Sizyakin R.A., Semenishchev E.A. The device for image reconstruction of base of hash functions. Patent for invention № 2661534, RU, 2018.11) Marchuk V.I., Voronin V.V., Tokareva S.V., Semenishchev E.A., Frantc V.A., Gapon N.V., Sizyakin R.A. The device for detection and reconstruction of anomaly measurements. Patent for invention №2616568, RU, 2017.12) Marchuk V.I., Semenishchev E.A., Voronin V.V., Makov S.V., Tolstova I.V. The device for searching the median line of objects borders in blurred images. Patent for invention №2622877, RU, 2017.13) Marchuk V.I., Semenishchev E.A., Katkov D.N., Voronin V.V., Frantc V.A., Tolstova I.V. The device for stitching medical images. Patent for invention №2614545, RU, 2017.14) Marchuk V.I., Semenishchev E. A., Katkov D.N., Voronin V.V., Frantc V.A., Pismenkova M.M. The device of seamless images stitching into a single composition with automatic contrast adjustment and gradient. Patent for invention № 2580473, RU, 2016.15) Marchuk V. I., Voronin V. V., Kozhin R. A., Gapon N. V., Lenina O. S., Tokareva S. V. The device for the restoration of two-dimensional signals on the base of reconstruction of distorted pixels on images. Patent for invention № 2582554, RU, 2016.16) Marchuk V.I., Voronin V.V., Ibadov S.R., Ibadov R.R., Gapon N.V., Sizyakin R.A., Tokareva S.V. The device for restoration of the distorted values of image pixels. Patent for invention № 2580456, RU, 2016.17) Marchuk V.I., Voronin V.V., Lenina O.S., Frantc V.A., Kozhin R.A. The device for a restoration depth map of the scene. Patent for invention № 2580466, RU, 2016.18) Marchuk V.I., Voronin V.V., Ibadov S.R., Ibadov R.R., Gapon N.V., Sizyakin R.A., Tokareva S.V. The device for the restoration of the distorted values of image pixels. Patent for invention №2580456, RU, 2016.19) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Gridin S.A. The method and device of increasing the accuracy of approximation of a true signal under conditional of a priory uncertainty. Patent for invention №2541919, RU, 2015.20) Beinarovich V.V., Morkovkin V.A., Nechaenko A.G., Obuhovets V.A., Voronin V.V. The method of continuous control of the integrity of aircraft on all steps of flight. Patent for invention № 2542746, RU, 2015.21) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Gridin S.A. The method and device for reducing the error estimation of true signal in conditions of a priory uncertainty. Patent for invention № 2541916, RU, 2015.22) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A., Prihodchenko V.A., Timofeev D.V., Gapon N.V. The device for automated face recognition on the group picture. Patent for invention № 2541918, RU, 2015.23) Marchuk V.I., Voronin V.V., Frantc V.A., Sherstobitov A.I., Gapon N.V., Sizyakin R.A. The device for defects detection on archive photos. Patent for invention №2541920, RU, 2015. 24) Marchuk V.I., Voronin V.V., Ibadov S.R., Ibadov R.R., Gapon N.V., Sizyakin R.A., Semenishchev E.A. The device for editing video sequences. Patent for invention №2572377, RU, 2015.25) Marchuk V.I., Voronin V.V., Frantc V.A., Pismenskova M.M., Semenishchev E.A. The device for three-dimensional scanning of the scene with non-lambert effects of lighting. Patent for invention №2573767, RU, 2015.26) Marchuk V. I., Voronin V.V., Morozova T. V., Pismenskova M.M. Method and device detection of local features on the image. Patent for invention № 2535184, RU, 2014.27) Marchuk V.I., Voronin V.V., Sizyakin R.A., Frantc V.A., Gapon N.V. Method and device for defects detection on video. Patent for invention № 2535449, RU, 2014.28) Makov S.V., Voronin V.V., Sherstobitov A.I., Levina O.S. Method and device for organizing the filtration table of the inter-network switcher. Patent for invention № 2538323, RU, 2014.29) Marchuk V.I., Voronin V.V., Frantc V.A., Gapon N.V., Sizyakin R.A. The device for adaptive filtration of video signals. Patent for invention № 2515489, RU, 2014.30) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A., Prihodchenko V.A., Timofeev D.V. The device for contour detection of the objects on a texture image background. Patent for invention № 2522044, RU, 2014.31) Marchuk V.I., Voronin V.V., Frantc V.A., Gapon N.V., Sizyakin R.A. The filtering device for dynamic digital images in conditions of a limited volume of prior data. Patent for invention №2522043, RU, 2014.32) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A., Prihodchenko V.A., Timofeev D.V. The device for a colorization black and white images. Patent for invention № 2524869, RU, 2014.33) Marchuk V.I., Voronin V.V., Sherstobitov A.I., Frantc V.A., Kozhin R.A., Levina O.S. The device for the processing of a depth map on stereo image. Patent for invention №2535183, RU, 2014.34) Marchuk V.I., Voronin V.V., Pismenskova M.M., Morozova T.V. The device for images duplicates searching. Patent for invention №2538319, RU, 2014.35) Marchuk V.I., Voronin V.V., Sherstobitov A.I., Frantc V.A., Gapon N.V., Sizyakin R.A., Gavrilenko D.S., Bagnukov K.V. Adaptive two-dimensional method and device for releasing the estimates. Patent for invention № 2461874, RU, 2012.36) Marchuk V.I., Voronin V.V., Sherstobitov A. I., Frantc V.A., Frankova K.N., Danilenko I.N. The method and device for impulse noise detection on the images. Patent for invention № 2449355, RU, 2012.37) Marchuk V.I., Voronin V.V., Sherstobitov A.I., Frantc V.A., Gapon N.V., Panenko M.V., Sizenko D.A. The device for two-dimensional signals processing for image reconstruction. Patent for invention №2440614, RU, 2012.38) Marchuk V.I., Voronin V.V., Sherstobitov A.I., Semenishchev E.A., Frantc V.A., Gapon N.V., Sizyakin R.A. The device for images restoring. Patent for invention № 2450342, RU, 2012.39) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A. The device for images processing based on the two-dimensional method of estimates reproduction. Patent for invention № 2406130, RU, 2010.40) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A., Duboskov V.V. The device for signal processing on the basis of two-criteria method. Patent for invention № 2393535, RU, 2010.41) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A. A two-dimensional method and device of least squares. Patent for invention № 2362207, RU, 2009.42) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A., Kalinina S.A. A parallel device for signal processing. Patent for invention № 2362208, RU, 2009.43) Marchuk V.I, Sherstobitov A.I., Voronin V.V., Semenishchev E.A., Dubovskov V.V., Tolstunov O.G., Kalinina S. A. A serial-parallel device of signal processing. Patent for invention № 2321053, RU, 2009.44) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A., Dubovskov V.V. A method and device for predicting the measurement results. Patent for invention № 2374682, RU, 2009.45) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A., Dubovskov V.V. The device for estimating a true signal on the noise background with minimization of the end effect for the method of piece reproduction of estimates. Patent for invention № 2365980, RU, 2009.46) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Semenishchev E.A. The device for estimation of a true signal with a single-done law of distribution of an additive noise component. Patent for invention № 2368002, RU, 2009.47) Marchuk V. I., Sherstobitov A.I., Voronin V. V., Tokareva S. V., Semenishchev E.A. The device for detection and reconstruction of anomaly measurements using the fixed value of the probability of false alarm. Patent for invention № 2361268, RU, 2009.48) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Suchkova L.A., Krukov V.V. The device for black and white images processing. Patent for invention № 2340938, RU, 2008.49) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Tokareva S.V. The method and device for anomaly measurements detecting without estimation of the trend function. Patent for invention № 2302655, RU, 2007.50) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Shelkovaya I.S. The device for estimation of a true signal with the elimination of breaking points during for the method of reproducing estimates. Patent for invention № 2313826, RU, 2007.51) Marchuk V.I., Sherstobitov A.I., Voronin V.V., Tokareva S.V. The device for detection and reconstruction of anomaly measurements. Patent for invention № 2301445, RU, 2007.