Adaptive wavelets and nonlinear transforms
Statistical and deep learning methods
Optimization
Medical imaging
2D/3D image analysis and processing (compression, classification, retrieval, quality enhancement and quality assessment)
Y. Xing, M. Kaaniche, B. Pesquet-Popescu et F. Dufaux, "Digital Holographic data representation and compression", Academic Press, Oct. 2015.
M. Kaaniche, R. Gaetano, M. Cagnazzo and B. Pesquet-Popescu, "Disparity estimation techniques", Emerging technologies for 3D video: creation, coding, transmission and rendering, Marco Cagnazzo, Frederic Dufaux et Béatrice Pesquet-Popescu, Wiley & Sons, 2013.
M. Kaaniche, A. Benazza-Benyahia, B. Pesquet-Popescu and J.-C. Pesquet, "Schémas de lifting", Ondelettes et multirésolution : théorie et applications, F. Denis, O. Laligant, F. Mériaudeau, F. Truchelet, Hermès, 2012.
H. Li, X. Huang, Y. Chen, C. Yang, M. Kaaniche, Q. Zhang, P. An, "Low-bitrate Light Field Video Compression through key sequences encoding and joint reconstruction network ", IEEE Transactions on Circuits and Systems for Video Technology, August 2025.
A. Amoya, M. Kaaniche, A. Benazza-Benyahia, "A hybrid wavelet neural network for stereo image retrieval", Signal, Image and Video Processing, vol. 19, July 2025.
J. Li, Z. Zhou, X. Zhao, M. Kaaniche, C. Wang, D. Liu, "SU3plus: An Enhanced Swin-UNet for Synthesizing Vertically Integrated Liquid from Multiple Meteorological Satellite Data", IEEE Transactions on Geoscience and Remote Sensing, vol. 63, June 2025.
T. Dardouri, M. Kaaniche, A. Benazza-Benyahia, G. Dauphin, "Multi-Task Convolution Neural Network-based lifting scheme for image compression", Pattern Recognition Letters, vol. 195, pp. 66-72, Sept. 2025. PDF
J. Chen, C. Wang, F. Shi, M. Kaaniche, M. Zhao, Y. Jing, S. Chen, "DSNet: A dynamic squeeze network for real-time weld seam image segmentation", Engineering Applications of Artificial Intelligence, Elsevier, vol. 133, Part C, 108278, Jul. 2024. PDF
T. Dardouri, M. Kaaniche, A. Benazza-Benyahia, G. Dauphin, J.-C. Pesquet, "Joint Learning of Fully Connected Network Models in Lifting Based Image Coders", IEEE Transactions on Image Processing, vol. 33, pp. 134-148, Nov. 2023. PDF
T.-S. Nguyen, M. Luong, M. Kaaniche, L. H. Ngo, A. Beghdadi, "A novel multi-branch wavelet neural network for sparse representation based object classification", Pattern Recognition, vol. 135, 109155, March 2023. PDF
Z. A. Khan, T. Dardouri, M. Kaaniche, G. Dauphin, "NNCD-IQA: A New Neural Networks based Compressed Database for Image Quality Assessment", Multimedia Tools and Applications, Springer, vol. 82, pp. 13951-13971, Sept. 2022. PDF
Z. A. Khan, A. Beghdadi, M. Kaaniche, F. Alaya Cheikh, O. Gharbi, "A Neural Network based Framework for Effective Laparoscopic Video Quality Assessment", Computerized Medical Imaging and Graphics, Elsevier, vol. 101, 102121, Oct. 2022. PDF
T. Dardouri, M. Kaaniche, A. Benazza-Benyahia and J.-C. Pesquet, "Dynamic Neural Network for Lossy-to-Lossless Image Coding", IEEE Transactions on Image Processing, vol. 31, pp. 569-584, Dec. 2021. PDF
E. Ghodhbani, M. Kaaniche, A. Benazza-Benyahia, "Depth-based color stereo images retrieval using joint multivariate statistical models", Signal Processing: Image Communication, Elsevier, vol. 76, pp. 272-282, Aug. 2019. PDF
E. Ghodhbani, M. Kaaniche, A. Benazza-Benyahia, "Close Approximation of Kullback-Leibler Divergence for Sparse Source Retrieval", IEEE Signal Processing Letters, vol. 26, no. 5, pp. 745-749, May 2019. PDF
B. Sdiri, M. Kaaniche, F. Alaya Cheikh, A. Beghdadi and O. J. Elle, "Efficient enhancement of stereo endoscopic images based on joint wavelet decomposition and binocular combination", IEEE Transactions on Medical Imaging, vol. 38, no. 1, pp. 33-45, Jan. 2019. PDF
I. Bezzine, M. Kaaniche, S. Boudjit and A. Beghdadi, "Sparse optimization of non separable vector lifting scheme for stereo image coding", Journal of Visual Communication and Image Representation, special issue on Emerging 3D and Immersive Data Processing and Evaluation Technologies, vol. 57, pp. 283-293, Nov. 2018. PDF
C. Wang, F. Alaya Cheikh, M. Kaaniche, A. Beghdadi and O. J. Elle, "Variational based smoke removal in laparoscopic image", BioMedical Engineering OnLine, vol. 17, no. 1, Oct. 2018. PDF
A. Chaker, M. Kaaniche, A. benazza-Benyahia and M. Antonini, "Efficient transform-based texture image retrieval techniques under quantization effects", Multimedia Tools and Applications, Springer, vol. 77, no. 1, pp.1-25, Jan. 2018. Link
W. Hachicha, M. Kaaniche, A. Beghdadi and F. Alaya Cheikh, "No-reference stereo image quality assessment based on joint wavelet decomposition and statistical models", Signal Processing: Image Communication, Elsevier, vol. 54, pp. 107-117, May 2017.
W. Hachicha, M. Kaaniche, A. Beghdadi and F. Alaya Cheikh, "Efficient inter-view bit allocation methods for stereo image coding", IEEE Transactions on Multimedia, vol. 17, no. 6, pp. 765-777, Mar. 2015. PDF
A. Chaker, M. Kaaniche and A. Benazza-Benyahia, "Disparity based stereo image retrieval through univariate and bivariate models", Signal Processing: Image Communication, Elsevier, vol. 31, pp. 174-184, Feb. 2015. PDF
Y. Xing, M. Kaaniche, B. Pesquet-Popescu and F. Dufaux, "Adaptive non separable vector lifting scheme for digital holographic data compression", Applied Optics, vol. 54, no. 1, pp. A98-A109, Jan. 2015. PDF
Y. Xing, M. Kaaniche, B. Pesquet-Popescu and F. Dufaux, "Vector lifting scheme for phase-shifting holographic data compression", Optical Engineering, special issue on Practical Holography: New Procedures, Materials, and Applications, vol. 23, no. 1, pp. 137-152, Jan. 2014. PDF
M. Kaaniche, A. Fraysse, B. Pesquet-Popescu and J.-C. Pesquet, "A bit allocation method for sparse source coding", IEEE Transactions on Image Processing, vol. 23, no. 1, pp. 137-152, Jan. 2014. PDF
M. Kaaniche, B. Pesquet-Popescu, A. Benazza-Benyahia and J.-C. Pesquet, "Adaptive lifting scheme with sparse criteria for image coding", EURASIP Journal on Advances in Signal Processing: Special Issue on New Image and Video Representations Based on Sparsity, vol. 2012, no. 1, pp. 1-22, Jan. 2012. Link
M. Kaaniche, A. Benazza-Benyahia, B. Pesquet-Popescu and J.-C. Pesquet, "Non separable lifting scheme with adaptive update step for still and stereo image coding", Signal Processing, Elsevier, Special issue on Advances in Multirate Filter Bank Structures and Multiscale Representations, vol. 91, no. 12, pp. 2767-2782, Jan. 2011. PDF
M. Kaaniche, A. Benazza-Benyahia, B. Pesquet-Popescu and J.-C. Pesquet, "Vector Lifting Schemes for Stereo Image Coding", IEEE Transactions on Image Processing, vol. 18, no. 11, pp. 2463-2475, Nov. 2009. PDF
L. Zhou, F. Shakeri, A. Sadraoui, M. Kaaniche, J.-C. Pesquet, I. Ben Ayed, UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, USA, June 2025.
N. D. Pham, M. Luong, M. Kaaniche, D. H. Trinh, A. Chetouani, "Ultrasound speckle denoising using ResUnet-based diffusion model", International conference on Modeling, Computation and Optimization in information systems and management sciences, Metz, France, June 2025.
T. Dardouri, M. Kaaniche, A. Benazza-Benyahia, J.-C. Pesquet, G. Dauphin, "Vers une nouvelle génération de schémas de lifting basés sur les réseaux de neurones et application à la compression d'images", COmpression et REprésentation des Signaux Audiovisuels (CORESA), Rennes, France, Nov. 2024.
A. Sadraoui, A. Laurent-Bellue, M. Kaaniche, A. Benazza-Benyahia, C. Guettier, J.-C. Pesquet, "Unrolled projected gradient algorithm for stain separation in digital histopathological images", IEEE International Conference on Image Processing, United Arab Emirates, Oct. 2024.
A. Beghdadi, M. A. Qureshi, B. Dakkar, H. H. Gillani, Z. A. Khan, M. Kaaniche, M. Ullah, F. Alaya Cheikh, "A New Video Quality Assessment Dataset for Video Surveillance Applications", International Conference on Image Processing, Bordeaux, France, 2022.
T. Dardouri, M. Kaaniche, A. Benazza-Benyahia, J.-C. Pesquet and G. Dauphin, "A neural network approach for joint optimization of predictors in lifting-based image coders", IEEE International Conference on Image Processing (ICIP), special session on Optimized image and video coding schemes using deep learning, Anchorage, Alaska, USA, Sept. 2021.
M. Khammassi, M. Kaaniche and A. Benazza-Benyahia, "Joint denoising of stereo images using 3D CNN", International Symposium on Signal, Image, Video and Communications (ISIVC), Saint-Étienne, France, Apr. 2021.
E. Ghodhbani, M. Kaaniche and A. Benazza-Benyahia, "An efficient 3D ResNet architecture for stereo image retrieval", International Conference on Computer Vision Theory and Applications (VISAPP), Vienna, Austria, Feb. 2021.
T. Dardouri, M. Kaaniche, A. Benazza-Benyahia and J.-C. Pesquet, "Optimized lifting scheme based on a dynamical fully connected network for image coding", IEEE International Conference on Image Processing (ICIP), special session on Neural networks-based visual data compression, Abu Dhabi, United Arab Emirates, Oct. 2020.
Z. A. Khan, A. Beghdadi, M. Kaaniche and F. Alaya Cheikh, "Residual Networks based distortion classification and ranking for laparoscopic image quality assessment", IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, Oct. 2020.
T.-S. Nguyen, H.-L. Ngo, M. Luong, M. Kaaniche, and A. Beghdadi, "Convolution Autoencoder-based sparse representation wavelet for image classification", International Workshop on Multimedia Signal Processing (MMSP), Finland, Sept. 2020. Best student paper runner-up.
Z. A. Khan, A. Beghdadi, F. Alaya Cheikh, M. Kaaniche and A. Qureshi, "A Multi-criteria contrast enhancement evaluation measure using wavelet decomposition", International Workshop on Multimedia Signal Processing (MMSP), Finland, Sept. 2020.
E. Ghdohbani, M. Kaaniche and A. Benazza-Benyahia, "Color stereo image retrieval using a residual CNN-based approach", Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (IEEE GRSS), Tunis, Tunisia, Mars 2020.
Z. A. Khan, A. Beghdadi, F. Alaya Cheikh, M. Kaaniche, E. Pelanis, R. Palomar, O. J. Elle and E. Bjørn, "Towards a video quality assessment based framework for enhancement of laparoscopic videos", SPIE Medical Imaging, Houston, Texas United States, Feb. 2020.
Z. A. Khan, M. Kaaniche, A. Beghdadi and F. Alaya Cheikh, "Joint Statistical Models for No-Reference Stereoscopic Image Quality Assessment", European Workshop on Visual Information Processing (EUVIP), 6 pages, Finland, Nov. 2018.
C. Wang, F. Alaya Cheikh, M. Kaaniche and O. J. Elle, "Liver surface reconstruction for image guided surgery", SPIE Medical Imaging, 8 pages, Houston, Texas United States, Feb. 2018.
B. Sdiri, M. Kaaniche, F. Alaya Cheikh, O. J. Elle and A. Beghdadi, "Joint enhancement of stereo endoscopic images based on vector lifting schemes", 29 th Conference of the international Society for Medical Innovation and Technology (SMIT), Torino, Italy, Nov. 2017.
A. Chaker, M. Kaaniche, A. Benazza-Benyahia and M. Antonini, "An efficient image retrieval method under dithered-based quantization scheme", European Signal and Image Processing Conference (EUSIPCO), 5 pages, Budapest, Hungary, Sept. 2016.
A. Chaker, M. Kaaniche and A. Benazza-Benyahia, "Efficient retrieval strategies for quantized stereo images", International Symposium on Signal, Image, Video and Communication (ISIVC), 6 pages, Hammamet, Tunisia, Nov. 2016.
Y. Xing, M. Kaaniche, B. Pesquet-Popescu and F. Dufaux, "Sparse based adaptive nonseparable vector lifting scheme for holograms compression", International Conference on 3D imaging (IC3D), pp. 1-8, Liege, Belgium, Dec. 2015.
G. Dauphin, M. Kaaniche and A. Mokraoui, "Block dependent dictionary disparity compensation for stereo image coding", IEEE International Conference on Image Processing (ICIP), pp. 4868-4872, Quebec, Canada, Sept. 2015.
M. Kaaniche, B. Matei and S. Meignen, "Optimized lifting schemes based on ENO stencils for image approximation", IEEE International Conference on Image Processing (ICIP), pp. 4308-4312, Quebec, Canada, Sept. 2015.
A. Chaker, M. Kaaniche, A. Benazza-Benyahia and M. Antonini, "An efficient statistical based retrieval approach for JPEG2000 compressed images", European Signal Processing Conference (EUSIPCO), pp. 1830-1834, Nice, France, Sept. 2015.
W. Hachicha, M. Kaaniche, A. Beghdadi and F. A. Cheikh, "Optimized residual image for stereo image coding", European Workshop on Visual Information Processing (EUVIP), 6 pages, France, Dec. 2014. Best Paper Award.
A. Chaker, M. Kaaniche and A. Benazza-Benyahia, "Multivariate statistical modeling for stereo image retrieval", European Workshop on Visual Information Processing (EUVIP), 6 pages, France, Dec. 2014.
W. Hachicha, M. Kaaniche, A. Beghdadi and F. A. Cheikh, "Rate-distortion optimal bit allocation for stereo image coding", IEEE International Conference on Image Processing (ICIP), pp. 5661-5666, Paris, France, Nov. 2014.
A. Chaker, M. Kaaniche and A. Benazza-Benyahia, "Exploiting disparity for stereo image retrieval", IEEE International Conference on Image Processing (ICIP), pp. 2993-2997, Paris, France, Nov. 2014.
O. Dhifallah, M. Kaaniche and A. Benazza-Benyahia, "Efficient joint multiscale decomposition for color stereo image coding", European Signal Processing Conference (EUSIPCO), 5 pages, Lisbon, Portugal, Sept. 2014.
M. Kaaniche, A. Fraysse, B. Pesquet-Popescu and J.-C. Pesquet, "Accurate rate-distortion approximation for sparse Bernoulli-Generalized Gaussian models", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, 5 pages, May 2014.
A. Chaker, M. Kaaniche and A. Benazza-Benyahia, "An efficient retrieval strategy for wavelet-based quantized images", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1493-1497, Vancouver, Canada, May 2013.
A. Chaker, M. Kaaniche and A. Benazza-Benyahia, "An improved image retrieval algorithm for JPEG2000 compressed images", IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 6 pages, Ho Chi Minh City, Vietnam, Dec. 2012.
M. Kaaniche, B. Pesquet-Popescu, A. Benazza-Benyahia and J.-C. Pesquet, "Adaptive lifting scheme with a global ℓ1 minimization technique for image coding", IEEE International Conference on Image Processing (ICIP), pp. 2461-2464, Florida, USA, Oct. 2012.
M. Kaaniche, B. Pesquet-Popescu and J.-C. Pesquet, "ℓ1-adapted non separable vector lifting scheme for stereo image coding", European Signal Processing Conference (EUSIPCO), 5 pages, Bucharest, Romania, August 2012.
M. Kaaniche, A. Fraysse, B. Pesquet-Popescu and J.-C. Pesquet, "A convex programming bit allocation method for sparse sources", IEEE International Picture Coding Symposium (PCS), Poland, 4 pages, May 2012.
M. Kaaniche, J.-C. Pesquet, A. Benazza-Benyahia et B. Pesquet-Popescu, "Schémas de lifting adaptatifs via des critères parcimonieux", GRETSI, Bordeaux, France, Sept. 2011.
M. El Gheche, J.-C Pesquet, J. Farah, M. Kaaniche and B. Pesquet-Popescu, "Proximal splitting methods for depth estimation", In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 2011.
M. Kaaniche, J.-C. Pesquet, A. Benazza-Benyahia and B. Pesquet-Popescu, "Two-dimensional non separable adaptive lifting scheme for still and stereo image coding", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1298-1301, Dallas, USA, March 2010.
M. Kaaniche, W. Miled, B. Pesquet-Popescu, A. Benazza-Benyahia and J.-C. Pesquet, "Dense disparity map representations for stereo image coding", IEEE International Conference on Image Processing (ICIP), pp. 725-728, Cairo, Egypt, Nov. 2009.
I. Daribo, M. Kaaniche, W. Miled, M. Cagnazzo and B. Pesquet-Popescu, "Dense disparity estimation in multiview video coding", International Workshop on Multimedia Signal Processing (MMSP), Rio de Janeiro, pp. 1-6, Brazil, Oct. 2009. Top 10% Paper Award.
M. Kaaniche, A. Benazza-Benyahia, J.-C. Pesquet and B. Pesquet-Popescu, "Lifting schemes for joint coding of stereoscopic pairs of satellite images", European Signal Processing Conference (EUSIPCO), pp. 980-984, Poznan, Poland, 3-7 Sept. 2007.
Première place (prix : 12 k€) dans la compétition DigiLut Data Challenge, organisée par l’hôpital de Foch et Health Data Hub, portant sur le développement de méthodes par apprentissage pour la détection des zones de rejet de greffe pulmonaire à partir d’images histopathologiques, Sept. 2024. Chercheurs impliqués: L. Le Bescond, A. Sadraoui, M. Kaaniche, J.-C. Pesquet, and H. Talbot.
Prime d'Encadrement Doctoral et de Recherche (PEDR) for the period 2020-2024 (with A-A-A-A appreciations given by the expert committee of the national board of universities (CNU-61)).
Best Student Paper Runner-Up, for the work entitled "Convolution autoencoder based sparse representation wavelet for image classification", presented in IEEE MMSP 2020.
PEDR for the period 2016-2020.
Best Paper Award, for the work entitled "Optimized residual image for stereo image coding", presented in the international conference EUVIP 2014.
Top 10% Paper Award, for the work entitled "Dense disparity estimation in multiview video coding", presented in IEEE MMSP 2009.
Title: Neural networks-based segmentation and classification of ultrasound images for thyroid cancer diagnosis
Funding: French Embassy in Vietnam, Excellence Scholarship Programmes
Period: Sept. 2024 - Aug. 2027.
Coordinators: Mounir Kaaniche (USPN), Marie Luong (USPN) & Dinh Hoan Trinh (VNU-Avitech, Vietnam)
Title: High Performance Soft-tissue Navigation (HiPerNav)
Funding: European project H2020-MSCA-ITN-2016
Period: Nov. 2016-Oct. 2020
Coordinator: Ole Jakob Elle, Professor, Oslo University Hospital, Intervention Centre.
Role: Involvement in the project through (i) PhD students supervision (work package related to quality enhancement and assessment of multimodal medical images), (ii) Co-leader of work package related to the dissemination and exploitation activities of the project.
Title: A biologically-inspired multi-sensor and multi-modal system for public security
Funding: National Priorities Research Program (NPRP, international project)
Period: Oct. 2016-Sept. 2020
Coordinator: Azeddine Beghdadi, Professor at USPN.
Role: Principal investigator and responsible for work package related to stereo/multiview images processing and coding.
Title: Image Quality enhancement in MEDical diagnosis, monitoring and treatment (IQ-MED)
Funding: Research Council of Norway (RCN)
Period: 2016-2018
Coordinator: Marius Pedersen, Professor at NTNU, Gjøvik, Norway.
Role: Involvement in work package related to laparoscopic image quality enhancement.
EU Erasmus Mundus Alyssa program (Sept. 2014-Jan. 2016): Having a financial support for Ms. Amani Chaker (PhD student at SUP'COM-Tunis) to achieve a part of her work in the I3S laboratory of Université Côte d'Azur, France.
Tassnim Dardouri, "Towards a New Generation of Lifting-Based Image Coders Using Neural Networks", Main supervisor: M. Kaaniche (USPN), Co-supervisor: G. Dauphin (USPN). In Collaboration with Jean-Christophe Pesquet (CVN, CentraleSupélec). Starting date: Oct. 2019. Defense date: Feb. 2023.
Emna Ghodhbani, "Joint statistical and learning approaches for depth-based color stereo images retrieval". Main supervisor: A. Benazza-Benyahia (SUP'COM-Tunis). Co-supervisior: M. Kaaniche (USPN). Starting date: Nov. 2016. Defense date: March 2021.
Zohaib Amjad Khan, "Learning-based quality assessment for medical imaging in the context of Liver cancer treatment ". Main supervisor: A. Beghdadi (USPN), Co-supervisors: M. Kaaniche (USPN) and F. Alaya Cheikh(NTNU-Gjøvik, Norway). Starting date: Nov. 2017. Defense date: Jan. 2021.
Ismail Bezzine, "Multichannel processing and analysis for QoS and quality driven video surveillance over wireless sensor networks". Main supervisor: A. Beghdadi (USPN), Co-supervisors: M. Kaaniche (USPN) and S. Boudjit (USPN). Starting date: Dec. 2016. Defense date: July 2020.
Congcong Wang, "Intra-operative image enhancement and registration for image guided laparoscopic liver resection". Main supervisor: F. Alaya Cheikh, (NTNU-Gjøvik). Co-supervisors: O. J. Elle (Oslo university, Norway) and A. Beghdadi (USPN). Collaboration: M. Kaaniche (USPN). Defense date: March 2020.
Amani Chaker, "Contributions to image retrieval in wavelet transform domain". Main supervisor: A. Benazza-Benyahia (SUP'COM-Tunis). Co-supervisor: M. Kaaniche (USPN). Starting date: Dec. 2012. Defense date: Nov. 2016.
Yafei Xing, "Compression methods for digital holographic data". Main supervisor: F. Dufaux (Télécom Paris). Co-supervisor: B. Pesquet-Popescu (Télécom Paris). Collaboration: M. Kaaniche (USPN). Defense date: Jan. 2015.