Journals
57. Sagar Deep Deb, Aqhlaqur Rahman, and Rajib Kumar Jha. "Breast cancer diagnosis using modified Xception and stacked generalization ensemble classifier." Research on Biomedical Engineering 39, no. 4 (2023): 937-947.
56. Sagar Deep Deb, and Rajib Kumar Jha. "Segmentation of pectoral muscle from mammograms using U-Net having densely connected convolutional layers." Multimedia Tools and Applications (2023): 1-22.
55. Arjun Abhishek, Rajib Kumar Jha, Ruchi Sinha, and Kamlesh Jha. "Automated detection and classification of leukemia on a subject-independent test dataset using deep transfer learning supported by Grad-CAM visualization." Biomedical Signal Processing and Control 83 (2023): 104722.
54. Sagar Deep Deb, Rajib Kumar Jha, Rajnish Kumar, Prem S. Tripathi, Yash Talera, and Manish Kumar. "CoVSeverity-Net: an efficient deep learning model for COVID-19 severity estimation from Chest X-Ray images." Research on Biomedical Engineering 39, no. 1 (2023): 85-98.
53. Gaurav Sundaram, Bhaskar Panna, Rajib Kumar Jha, and Sumit Kumar. "Image encryption based on fractional discrete cosine transform and DWT with interplane arrangements in dost domain." IET Image Processing 17, no. 4 (2023): 1195-1207.
52. Sagar Deep Deb, and Rajib Kumar Jha. "Breast UltraSound Image classification using fuzzy-rank-based ensemble network." Biomedical Signal Processing and Control 85 (2023): 104871.
51. Sagar Deep Deb, and Rajib Kumar Jha. "Modified Double U-Net Architecture for Medical Image Segmentation." IEEE Transactions on Radiation and Plasma Medical Sciences 7, no. 2 (2022): 151-162.
50. Arjun Abhishek, Rajib Kumar Jha, Ruchi Sinha, Kamlesh Jha, “Automated classification of acute leukemia on a heterogeneous dataset using machine learning and deep learning techniques,” Biomedical Signal Processing and Control, Vol. 72, issue B, pages 103341, 2022.
49. Sagar Deep Deb, Rajib Kumar Jha, Kamlesh Jha, Prem S Tripathi, “A multi model ensemble based deep convolution neural network structure for detection of COVID19,” Biomedical Signal Processing and Control, Volume 71, Part A, January 2022, 103126.
48. Avishek Kumar, Rajib Kumar Jha, Naveen K. Nishchal, “Dynamic stochastic resonance and image fusion based model for quality enhancement of dark and hazy images,” J. of Electronic Imaging, 30(6), 063008, 2021.
47. Avishek Kumar, Rajib Kumar Jha, Naveen K. Nischal, “A multi-exposure fusion framework for contrast enhancement of hazy images employing dynamic stochastic resonance,” Journal of Visual Communication and Image Representation, Vol. 81, 103376, 2021.
46. Avishek Kumar, Rajib Kumar Jha, Naveen K. Nischal, A joint Gamma correction and multi-resolution fusion scheme for enhancing haze degraded images,” Journal of optical engineering, Vol 60, issue 6, 2021, SPIE
45. Avishek Kumar, Rajib Kumar Jha, Naveen K. Nischal,, “An improved Gamma correction model for image dehazing in a multi-exposure fusion framework,” Journal of Visual Communication and Image Representation, Vol. 78, 103122, 2021.
44. Vanita Arora, Ravibabu Mulaveesala, Anju Rani, Sumit Kumar, Vansha Kher, Priyanka Mishra, Jasleen Kaur, Geetika Dua, Rajib Kumar Jha, “Infrared Image Correlation for Non-destructive Testing and Evaluation of Materials,” Journal of Nondestructive Evaluation, Vol. 40, issue 3, pages 1-7. Springer
43. M. A. Rahman, Rajib Kumar Jha, “Multi-directional Gabor Filter Based Approach for Pectoral Muscle Boundary Detection”, IEEE Transactions on Radiation and Plasma Medical Sciences, 2021,
42. M Chouksey, Rajib Kumar Jha, “A multiverse optimization-based colour image segmentation using variational mode decomposition”, Accepted in Expert Systems with Applications, 114587, 2021
41. M Chouksey, Rajib Kumar Jha, “A Joint Entropy for Image Segmentation Based on Quasi Opposite Multiverse Optimization,” Multimedia Tools and Applications, 80 (7), 10037-10074, 2021
40. A Kumar, TVK Gupta, Rajib Kumar Jha, SK Ghosh, Wear analysis of abrasive waterjet nozzle using suprathreshold stochastic resonance technique, Proceedings of the Institution of Mechanical Engineers, Part E: Journal, 2020
39. M Chouksey, Rajib Kumar Jha, R Sharma, A fast technique for image segmentation based on two Meta-heuristic algorithms, Multimedia tools and applications, 1-53, 2020
38. S. Kumar, Rajib Kumar Jha, An FPGA-based design for a real-time image denoising using approximated fractional integrator, Multidimensional systems and signal processing, 1-23, 2020
37. S Kumar, Rajib Kumar Jha, “FD-based detector for medical image watermarking,” Journal of IET Image Processing, vol. 13, no. 10, pp. 1773-1782, 2019. h5 index= 25 & h5 median=35, Impact Factor: 1.40.S. Kumar, Rajib Kumar Jha, “A Novel Noise enhanced back-propagation technique for weak signal detection in Neyman-Pearson Framework,” Journal of Neuro Processing Letters, pp. 1-18, 2019. h5 index= 23 & h5 median=33, Impact Factor: 1.78.
36. A Bhardwaj, VS Verma, Rajib Kumar Jha, “A new scheme for logo extraction using combined noise induced resonance and support vector machine with PCA based feature reduction,” Journal of Multimedia Tools and Applications, vol. 78, no. 16, pp 23203–23224, 2019. h5 index= 45 & h5 median=60, Impact Factor: 1.54.
35. S Kumar, B Panna, Rajib Kumar Jha, “Medical image encryption using fractional discrete cosine transform with chaotic function,” Journal of Medical & biological engineering & computing, vol. 57, no. 11, pp 2517–2533, 2019.
34. Mausam Chouksey, Rajib Kumar Jha, “A fast technique for image segmentation based on two Metaheuristic algorithms,” Accepted in Journal of Multimedia Tools and Applications, 2019.
33. S. Kumar, Rajib Kumar Jha, “Weak Signal Detection Using Stochastic Resonance with Fractional Integrator,” Journal of Circuits, Systems, and Signal Processing, vol. 38 no. 3, pp. 1157-1178, 2019. h5 index= 28 & h5 median=39, Impact Factor: 2.0.
32. MA Rahman, Rajib Kumar Jha, AK Gupta, “Gabor phase response-based scheme for accurate pectoral muscle boundary detection,” Journal of IET Image Processing, vol. 13, no. 5, pp. 771-778, 2019. h5 index= 25 & h5 median=35, Impact Factor: 1.40
31. B. Panna, Rajib Kumar Jha, S. Kumar, “Color Image Encryption in Block-wise Fractional Fourier Transform Associated with Wavelet Transform", Published in Journal of IETE Technical Review, 2018. h5 index= 20 & h5 median=27, Impact Factor: 1.30.
30. S Kumar, Rajib Kumar Jha, “Noise-Induced Resonance and Particle Swarm Optimization Based Weak Signal Detection,” Journal of Circuits, Systems, and Signal Processing, Springer, vol. 38, no.6, pp 2677– 2702, 2018. h5 index= 28 & h5 median=39, Impact Factor: 2.0.
29. A Bhardwaj, VS Verma, Rajib Kumar Jha, “Robust video watermarking using significant frame selection based on coefficient difference of lifting wavelet transform,” Journal of Multimedia Tools and Applications, vol. 77, no. 77, pp 19659–19678, 2018. h5 index= 45 & h5 median=60, Impact Factor: 1.54.
28. Vivek Singh Verma, Rajib Kumar Jha, “LWT-DSR based new robust framework for watermark extraction under intentional attack conditions,” Published in Journal of Franklin Institute, Elsevier. h5 index= 47 & h5 median= 59. Impact factor: 3.58.
27. Deepika Shukla, Rajib Kumar Jha, Aparajita Ojha, “A New Composite Multi-Constrained Differential-Radon Warping Approach for Digital Video Affine Motion Stabilization,” Computer Vision and Image Understanding, Volume 155, Feb 2017, Pages 83–105, Elsevier, h5 index= 44 & h5 median=70, Impact Factor: 2.39.
26. Suraj Suman, Rajib Kumar Jha, “A New technique for Image Enhancement using Digital Fractional Order Savitzky Golay Differentiator,” Multidimensional Systems & Signal Processing (MULT), pp. 1-25, 2017, Springer. h5 index= 20 & h5 median= 31; Impact factor: 2.1.
25.Deepika Shukla, Rajib Kumar Jha, Aparajita Ojha, “Digital Image Stabilization Using Similarity Transformation over Constrained Differential-Radon Warping Vectors,” Signal Processing: Image Communication, Volume 47, Issue C, Sept. 2016, pp 115-130, Elsevier, h5 index= 38, h5 median=48, Impact Factor: 2.1.
24. Nidhi Gupta, Rajib Kumar Jha, “Enhancement of dark images using dynamic stochastic resonance with anisotropic diffusion,” Journal of Electronic Imaging, Vol. 25, no. 2, 023017, 2016, SPIE. h5 index= 23 & h5 median=31, Impact factor: 1.15.
23. Deepika Shukla, Rajib Kumar Jha, “Robust motion estimation for night-shooting videos using dual-accumulated constraint warping,” Visual Communication & image representation, 2015, Elsevier. (in press) h5 index= 42 & h5 median= 64; Impact factor: 1.83.
22. Rajlaxmi Chouhan, Prabir Kumar Biswas, Rajib Kumar Jha, “Hybrid domain analysis of noise-enhanced contrast stretching,” Signal Processing Systems, 2015, Springer. (in press) h5 index= 19 & h5 median= 25; Impact factor: 1.1.
21. Deepika Shukla, Rajib Kumar Jha, Aparajita Ojha, “Unsteady camera zoom stabilization using slope estimation over Interest Warping Vectors,” Pattern Recognition Letters, Vol. 68, no. 1, pp. 197–204, Dec. 2015, Elsevier. h5 index= 51 & h5 median= 76; Impact factor: 2.0.
20. Vivek Singh Verma, Rajib Kumar Jha, Aparajita Ojha, “Significant region based robust watermarking scheme in lifting wavelet transform domain,” Expert systems with applications, Vol. 42, Issue 21, Pages 8184–8197, Nov. 2015, Elsevier. h5 index= 92 & h5 median= 133. Impact factor: 3.77
19. Rajlaxmi Chouhan, Prabir Kumar Biswas, Rajib Kumar Jha, “Enhancement of low-contrast images by internal noise-induced Fourier coefficients rooting,” Signal image and video Processing, 2015, Springer. (in press) h5 index= 23 & h5 median= 29; Impact factor: 1.10..
18. Vivek Singh Verma, Rajib Kumar Jha, Aparajita Ojha, “Digital watermark extraction using support vector machine with principal component analysis based feature reduction,” Visual Communication & image representation, Vol. 31, Pages 75–85, Aug. 2015, Elsevier. h5 index= 42 & h5 median= 64; Impact factor: 1.83.
17. Deepika Shukla, Rajib Kumar Jha, “A robust video stabilization technique using integral frame projection warping,” Signal, Image and Video processing, Vol. 9, Issue 6, pp 1287-1297, Sep. 2015, Springer. h5 index= 23 & h5 median= 29; Impact factor: 1.10.
16. Vivek S Verma, Rajib Kumar Jha, “Improved Watermarking Technique based on Significant Difference of Lifting Wavelet Transform,” Signal, Image & Video processing, Vol. 9, no. 6, pp 1443-1450, Sept. 2015. h5 index= 23 & h5 median= 29; Impact factor: 1.10.
15. Rajib Kumar Jha, Rajlaxmi Chouhan, “Dynamic Stochastic Resonance-based Grayscale Logo Extraction Technique in Combined SVD-DCT Domain,” Journal of the Franklin Institute, Vol. 351, Issue 5, pp. 2938-2965, May 2014, Elsevier. h5 index= 47 & h5 median= 59. Impact factor: 3.58.
14. Rajib Kumar Jha, Rajlaxmi Chouhan, Kiyoharu Aizawa, “Dynamic stochastic resonance-based improved logo extraction in discrete cosine transform domain,” Computer & Electrical Engineering, Vol. 40, Issue 6, pp. 1917-1929, Aug. 2014, Elsevier. h5 index= 40 & h5 median= 51; Impact factor: 1.78
13. Rajib Kumar Jha, Rajlaxmi Chouhan, “Noise induced Contrast Enhancement using Stochastic Resonance on Singular Values,” Signal Image and Video Processing, Vol. 8, Issue 2, pp. 339-347, Feb. 2014, Springer. h5 index= 23 & h5 median= 29; Impact factor: 1.10.
12. Rajib Kumar Jha, Rajlaxmi Chouhan, Kiyoharu Aizawa, P. K. Biswas, “Dark and Low Contrast Image Enhancement Using Dynamic Stochastic Resonance in DCT Domain,” Cambridge Journals; APSIPA Transactions on Signal and Information Processing, Vol. 2, e6, Nov. 2013, h5 index= 13, h5 median= 17; Impact factor: 1.64.
11. Rajib Kumar Jha, Apoorv Chaturvedi, Rajlaxmi Chouhan, “Watermark detection using dynamic stochastic resonance," Fluctuation and Noise Letter, Vol. 12, no. 3, Sept. 2013, World scientific. h5 index= 14 & h5 median= 17; Impact factor: 1.22.
10. Rajib Kumar Jha, P. K. Biswas, S. Shrivastav, “Logo Extraction Using Dynamic Stochastic Resonance," Signal, Image and Video Processing, Vol. 7, no. 1, pp. 119-128, Jan. 2013, Springer h5 index= 23 & h5 median= 29; Impact factor: 1.10.
09. Rajib Kumar Jha, P. K. Biswas, B. N. Chatterji, “Logo extraction Using Combined Discrete Wavelet Transform and Dynamic Stochastic Resonance,” International Journal of Image and Graphics, Vol. 13, Issue 1, Jan. 2013, World scientific. h5 index= 8 & h5 median= 10; Impact factor: 0.50.
08. Rajlaxmi Chouhan, Rajib Kumar Jha, P. K. Biswas, “Enhancement of Dark and Low Contrast images using Dynamic Stochastic Resonance,” IET Image Processing, Vol. 7, Issue 2, pages 174 – 184, Mar. 2013. h5 index= 25 & h5 median=35, Impact Factor: 1.40
07. Rajib Kumar Jha, P. K. Biswas, B. N. Chatterji, “Contrast Enhancement of Dark Images Using Stochastic Resonance,” IET Image Processing, Vol. 6, Issue 3, pages 230-237, April 2012. h5 index= 25 & h5 median=35, Impact Factor: 1.40
06. Rajlaxmi Chouhan, C. Pradeep Kumar, Rawnak Kumar, Rajib Kumar Jha, “Contrast enhancement of dark images using Dynamic Stochastic Resonance in Wavelet domain," International Journal of Machine Learning and Computing, Vol. 2, Issue 5, pp. 711-715, Oct. 2012. h5 index= 16 & h5 median= 26; Impact factor: 1.70.
05. Rajib Kumar Jha, P. K. Biswas, Bhupendra Gupta, Deepak Mishra, “Suprathreshold Stochastic Resonance and Maximizing Network for Watermark Detection,” Journal of Electronic Imaging, Vol. 21, Issue 1, art Issue 013001, 2012. h5 index= 22 & h5 median=29, Impact factor: 0.75.
04. Rajib Kumar Jha, Badal Soni, Rajlaxmi Chouhan, Kiyoharu Aizawa, “Improved Watermark Extraction from Audio Signals by Scaling of Internal noise in DCT Domain,” Advances in Computer Science, Engineering & Applications, Vol. 166, pp. 235-243, 2012.
03. Rajib Kumar Jha, P. K. Biswas, B. N. Chatterji, “Image Segmentation Using Suprathreshold Stochastic Resonance," International Journal of Signal Processing, Vol. 72, pp. 1-15, 2010.
02. Vivek S Verma, Rajib Kumar Jha, “An Overview of Robust Digital Image Watermarking,” Journal of IETE Technical Review, June 2015, Taylor & Francis, h5 index = 18 & h5 median= 26; Impact factor: 1.30.
01. Rajib Kumar Jha, Badal Soni, Kiyoharu Aizawa, “Logo Extraction from Audio Signals by Utilization of Internal Noise,” IETE Journal of Research, Vol. 59, Issue 3, pp. 270-279, 2013. h5 index= 10 & h5 median= 16; Impact factor: 0.90.
Conferences
59. Sagar Deep Deb, Rachit Kashyap, Arjun Abhishek, R. Lavanya, Pushp Paritosh, and Rajib Kumar Jha. "Tomato leaf disease detection using series of Convolutional and Depthwise Convolutional Layers." In 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), pp. 1-6. IEEE, 2023.
58. Arjun Abhishek, Sagar Deep Deb, Rajib Kumar Jha, Ruchi Sinha, and Kamlesh Jha. "Classification of Leukemia using Fine Tuned VGG16." In 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), pp. 1-5. IEEE, 2023.
57. Sumit Kumar, Gaurav Sundaram, Snehan Shourya, Rajib Kumar Jha, Rashmi Ranjan Maharana, and Garima Saini. "A Novel Signal Detector based on Approximated Fractional Integrator in Frequency Domain." In 2023 International Conference on Fractional Differentiation and Its Applications (ICFDA), pp. 1-5. IEEE, 2023.
56. Gaurav Sundaram, Snehan Shourya, Rajib Kumar Jha, Rashmi Ranjan Maharana, Latha Banda, and Sumit Kumar. "A Novel Encryption Approach with Fractional Discrete Cosine Transform and Cascading Discrete Orthonormal Stockwell Transform." In 2023 International Conference on Fractional Differentiation and Its Applications (ICFDA), pp. 1-5. IEEE, 2023.
55. Sagar Deep Deb, Rajib Kumar Jha, and Sudhir Kumar. "ConvPlant-Net: A Convolutional Neural Network based Architecture for Leaf Disease Detection in Smart Agriculture." In 2023 National Conference on Communications (NCC), pp. 1-6. IEEE, 2023.
54. Abhishek, Arjun, Sagar Deep Deb, Rajib Kumar Jha, Ruchi Sinha, and Kamlesh Jha. "Effective WBC Segmentation Using Hybrid Loss." In 2023 National Conference on Communications (NCC), pp. 1-6. IEEE, 2023.
55.Sagar Deep Deb, Arjun Abhishek, and Rajib Kumar Jha. "2-Stage Convolutional Neural Network for Breast Cancer Detection from Ultrasound Images." In 2023 National Conference on Communications (NCC), pp. 1-6. IEEE, 2023.
54. Sagar Deep Deb, Rajib Kumar Jha, Yash Talera, Prem S. Tripathy, Simran Agrawal, and Kamlesh Jha. "Survival prediction of COVID-19 patients using multi-modal dataset." In 2022 IEEE 19th India Council International Conference (INDICON), pp. 1-6. IEEE, 2022.
53. Sagar Deep Deb, and Rajib Kumar Jha. "Segmentation of Mammogram Images Using Deep Learning for Breast Cancer Detection." In 2022 2nd International Conference on Image Processing and Robotics (ICIPRob), pp. 1-6. IEEE, 2022.
52. Arjun Abhishek, Naveen Santhanam, Rajib Kumar Jha, Ruchi Sinha, Kamlesh Jha, “Multi Class Classification of Acute Leukemia using Transfer Learning,” IEEE International Conference for Advancement in Technology (ICONAT) 2022, 1-6.
51. A Kumar, Rajib Kumar Jha, NK Nishchal, “A Weighted Multi-scale Fusion Technique for Single Image Haze Removal,” ICOL-2019, 469-472, 2021, Springer.
50. Sagar Deep Deb, Rajib Kumar Jha, “COVID-19 detection from chest X-Ray images using ensemble of CNN models,” IEEE International Conference on Power, Instrumentation, Control and Computing (PICC), 2020.
49. M Chouksey, Rajib Kumar Jha, “Variational Mode Decomposition based Image Segmentation using Sine Cosine Algorithm,” Asia-Pacific Signal and Information Processing Association Annual summit, 2020.
48. Sagar Deep Deb, Md Akhlaqur Rahman, Rajib Kumar Jha, “Breast cancer detection and classification using global pooling,” IEEE 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020, pages 1-5.
47. Sumit Kumar, Ayush Kumar, Rajib Kumar Jha, “Noise-induced training for weak signal detection in neyman–pearson framework,” Advances in VLSI, Communication, and Signal Processing, 295-305, 2020, Springer
46. Sumit Kumar, Akshita Gupta, Rajib Kumar Jha, “Analysis, diagnosis and correction of rain streaks,” IEEE Region 10 Conference (TENCON)-2019, 2700-2704.
45. Chitra Bhandari, Sumit Kumar, Sudha Chauhan, MA Rahman, Gaurav Sundaram, Rajib Kumar Jha, Shyam Sundar, AR Verma, Yashvir Singh, “Biomedical image encryption based on fractional discrete cosine transform with singular value decomposition and chaotic system,” International Conference on Computing, Power and Communication Technologies, 2019.
44. Sumit Kumar, R Sharma, MA Rahman, Rajib Kumar Jha, AR Verma, Y Singh, “Robust Secret Sharing for Image Encryption in Fractional Fourier Transform Domain,” International Conference on Computing, Power and Communication Technologies 2019.
43. Rajib Kumar Jha, Badal Soni, “Radon Transform and Dynamic Stochastic Resonance based Technique for Line Detection from Noisy Images,” in proceeding of ICNF-2019, held in EPFL, Switzerland, 18-21 June 2019.
42. Rajib Kumar Jha, Onkar Krishna, “Dynamic Stochastic Resonance Based Blocking Artifacts Removal from Compressed Images in DCT Domain,” in proceeding of ICNF-2019, held in EPFL, Switzerland, 18- 21 June 2019.
41. Sumit Kumar, Rajib Kumar Jha, “Suprathreshold Stochastic Resonance for Gamma Noise with Watermarking Application,” in proceeding of ICNF-2019, held in EPFL, Switzerland, 18-21 June 2019.
40. Sumit Kumar, Rajib Kumar Jha, “An FPGA Based Practical Implementation of Stochastic Resonance for Image Enhancement,” in proceeding of ICNF-2019, held in EPFL, Switzerland, 18-21 June 2019.
39. Sumit Kumar, T. Singh, Rajib Kumar Jha, “Randomness Assists in Wireless Connectivity,” in proceeding of ICNF-2019, held in EPFL, Switzerland, 18-21 June 2019.
38. Sumit Kumar, Rajib Kumar Jha, “A Fractional Integrator Based Novel Detector for Weak Signal Detection with Watermark Application” Published in IEEE Asia-Pacific Signal and Information Processing Association, APSIPA. Honolulu, Hawaii, USA. 2018 (Accepted).
37. Sumit Kumar, Rajib Kumar Jha, “Weak Signal Detection from Noisy Signal Using Stochastic Resonance with Particle Swarm Optimization Technique,” Accepted for publication in proceedings of International Conference on Noise and fluctuations, June 2017.
36. Sumit Kumar, Aaush Kumar, Rajib Kumar Jha, “Supra-threshold Stochastic Resonance Based Noisy Image Segmentation Under Different Noise Conditions,” Accepted for publication in proceedings of International Conference on Noise and fluctuations, June 2017.
35. Sumit Kumar, Aakansha Jha, Rajib Kumar Jha, “Characterization of Supra-threshold Stochastic Resonance for Uniform Distributed Signal with Laplacian & Gaussian Noise,” Accepted for publication in proceedings of International Conference on Noise and fluctuations, June 2017
34. Vivek S. Verma, Anuj Bhardwaj, Rajib Kumar Jha, “Robust Image Watermarking using Combined DSR-SVM with PCA based Feature Reduction,” Accepted for publication in proceedings of International Symposium in Embedded systems & Design, 2017.
33. Sumit Kumar, Snehan Shourya and Rajib Kumar Jha “Adaptive Fractional Differential Approach to Enhance Underwater Images,” Accepted for publication in proceedings of International Symposium in Embedded systems & Design, 2017.
32. Deepika Shukla, Rajib Kumar Jha, “Novel Approach for Combined Rotational And Translational Motion Estimation Using Frame Projection Warping,” in proceedings of IEEE VCIP 2013, 17-20 Nov., Kuching, Malaysia.
31. Rajib Kumar Jha, Onkar Krishna, Kiyoharu Aizawa, “DSR based Improved Watermark Extraction from Audio Signal in SVD Domain,” in Proceedings of European Signal Processing Conference (EUSIPCO 2012), Bucharest, Romania, August 27 - 31, pp. 2684-2688, 2012.
30. Rajib Kumar Jha, Rajlaxmi Chouhan, P. K. Biswas, K. Aizawa, “Internal noise-induced contrast enhancement of dark images," in Proceeding IEEE International Conference on Image Processing (ICIP), Vol. 11, pp. 2801-2804, Orlando, Florida, USA, 2012.
29. Rajib Kumar Jha, Onkar Krishna, P. K. Biswas, “Dynamic Stochastic Resonance-Based Improved Watermark Extraction in DWT-SVD domain,” in Proceedings of 4th International Conference in Intelligent and Advanced Systems (ICIAS), 2012, Vol. 2, pp. 632-636, Malaysia.
28. Rajlaxmi Chouhan, Rajib Kumar Jha, Apoorv Chaturvedi, T. Yamasaki, Kiyoharu Aizawa, “Robust watermark extraction using SVD-based dynamic stochastic resonance," in Proceeding IEEE International Conference on Image Processing (ICIP), Vol. 11, pp. 2801-2804, 2011, Brussels, Belgium.
27. Rajib Kumar Jha, P. K. Biswas, D. Mishra, “Improving Watermark Detection Performance using Suprathreshold Stochastic Resonance," in Proceeding of Tencon IEEE Region 10 Conference, Fukuoka, Japan, 21-24 Nov., pp. 691 – 696, 2010.
26. Rajib Kumar Jha, P. K. Biswas, B. N. Chatterji, “Image Segmentation using Suprathreshold Stochastic Resonance," in Proceeding of ICSIP, Singapore, 25-28 Sept., 2010.
25. Rajib Kumar Jha, P. K. Biswas, B. N. Chatterji, “Enhancement of Digital Images using Stochastic Resonance,” in Proceeding of Tencon-IEEE Region 10 Conference, Melbourne, Australia, 21-24 Nov., pp. 1-6, 2005.
24. Sumit Kumar, Rajib Jha and Badal Soni, “Radon Transform and Dynamic Stochastic Resonance Based Technique for Line Detection from Noisy Images,” Accepted in ICNF19.
23. Sumit Kumar, Akshita Gupta and Rajib Jha, “Analysis, Diagnosis and Removal of Raindrop Streaks from Single Image,” Accepted in National Conference on Information, Photonics & Communication (IPC’19).
22. Sumit Kumar, Rajib Kumar Jha, “A Robust Sharing Based Encryption Method in Singular Value Decomposition Domain Using Fractional Fourier Transform,” Accepted in IEEE ISED conference 2018.
21. Sumit Kumar, Ayush Kumar, Rajib Kumar Jha, “Noise-induced Training for Weak Signal Detection in Neyman-Pearson framework,” Accepted in International Conference on VLSI, Communication and Signal Processing, MNNIT Allahabad
20. Rajib Kumar Jha, Badal Soni, Sumit Kumar, “A Combined LoG and Dynamic Stochastic Resonance Based Technique for Edge Detection from Noisy Images”, Proceedings of the National conference IEEE RAICS 2018.
19. Sumit Kumar, Rajib Kumar Jha, “Enhancement of high dynamic range images using variational calculus regularizer with stochastic resonance” Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2016
18. Rajlaxmi Chouhan, C. Pradeep Kumar, Rawnak Kumar, Rajib Kumar Jha, “Contrast enhancement of dark images using Dynamic Stochastic Resonance in wavelet domain," in Proceeding IEEE International Conference on Machine Learning and Computing, Singapore, Vol. 3, pp. 191-196, 2011
17. Deepika Shukla, Rajib Kumar Jha, “An Optimized Derivative Projection Warping Approach For Moving Platform Video Stabilization,” in proceedings of IEEE NCVPRIPG 2013, 18-21 Dec., IIT Jodhpur, India
16. Deepika Shukla, Rajib Kumar Jha, “A Robust On-Road Moving Platform Image Stabilization Using Derivative Curve Warping,” in proceedings of IEEE PReMI 2013, 11-15 Dec., ISI Kolkata, India.
15. Onkar Krishn, Rajib Kumar Jha, B. Soni, A. K. Tiwari, “Noise Induced Segmentation of Noisy Color Image,” in proceedings of NCC 2013, 15-17 Feb., IIT Delhi,
14. Rajlaxmi Chouhan, Rajib Kumar Jha, Prabir Kumar Biswas , “Noise-enhanced Contrast Stretching of Dark Images in SVD-DWT domain,” in proceedings on 2013 Annual IEEE India Conference (INDICON) , 13-15 Dec., IIT Mumbai.
13. Deepika Shukla, Rajib Kumar Jha, “A Robust Video Stabilization Using Optimized Dynamic Time Warping,” in proceedings of IEEE ICIIP 2013, 9-11 Dec., Shimla, India
12. Rajib Kumar Jha, Anand Maitre, Sravan Mohanty, “Entropy-Based Rain Detection and Removal”, in proceedings of IEEE CARE 2013, 16-18 Dec., Jabalpur, India.
11. Rajlaxmi Chouhan, Rajib Kumar Jha, P. K. Biswas, “Wavelet Based Contrast Enhancement of Dark Images Image Using Dynamic Stochastic Resonance,” in Proceedings of ICVGIP, 16-19 Dec., 2012, IIT Mumbai, India.
10. Rajib Kumar Jha, Rajlaxmi Chouhan, P. K. Biswas, “Noise Induced Contrast Enhancement of Dark Images Using Non-Dynamic Stochastic Resonance,” in Proceeding of National Conference on Communications (NCC), 3-5 Feb., IIT Kharagpur, 2012.
09. Onkar Krishna, Rajib Kumar Jha, P. K. Biswas, M .M. Mushrif, “Dynamic Stochastic Resonance-based Improved Watermark Extraction from Audio Signal,” in Proceeding of National Conference on Communications (NCC), 3-5 Feb., IIT Kharagpur, 2012.
08. Rajlaxmi Chouhan, Rajib Kumar Jha, P. K. Biswas, “Image Denoising Using Dynamic Stochastic Resonance in Wavelet Domain,” in Proceedings of IEEE 12th International conference on ICDA, Kochi, India, 27-29 Nov., 2012.
07. Rajib Kumar Jha, Badal Soni, Rajlaxmi Chouhan, K. Aizawa, “Improved Watermark Extraction From Audio Signals By Scaling of Internal Noise in DCT Domain”, in Proceedings of the Second International Conference on Computer Science, Engineering and Applications (ICCSEA 2012), May 25-27, 2012, New Delhi, India.
06. Rajlaxmi Chouhan, Rajib Kumar Jha, M. Shrivastava, Apoorv Chaturvedi, “Improved watermark extraction using Dynamic Stochastic Resonance," in Proceeding IEEE Recent Advances in Intelligent Computational Systems, 22-24 Sept., pp. 280 - 285, 2011.
05. Rajib Kumar Jha, P. K. Biswas, B. N. Chatterji, “Stochastic Resonance Based Enhancement of Dark Images,” in Proceeding of WCVGIP-06, IIIT Hyderabad, India,12-13 Jan, 2006.
04. Rajib Kumar Jha, P. K. Biswas, B. N. Chatterji, "Image denoising using stochastic resonance”, in Proceeding of international conference on cognition and recognition, Mysore, India, December 22-23, 2005.
03. Rajib Kumar Jha, B. N. Chatterji, "Wavelet Based Approach for Watermarking of Digital Images”, in Proceeding of National Conference on Document Analysis and Recognition, Mandya, July 11- 12, 2003.
02. B. N. Chatterji, Manesh Kokere, A. Adhipathi Reddy, Rajib Kumar Jha, "Wavelets for Content Based Image Retrieval and Digital Watermarking for Multimedia Applications," in proceeding of Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference, Vol. 2, pp. 812 – 816, 2003.resonance”, in Proceeding of international conference on cognition and recognition, Mysore, India, December 22-23, 2005.
01. S Kumar, RK Jha, R Sharma, AR Verma, Y Singh, “A Robust Sharing Based Encryption Method in Singular Value Decomposition Domain Using Fractional Fourier Transform,” 2018 8th International Symposium on Embedded Computing and System Design