If you use the following public datasets and/or source code, please cite the associated papers.
Dataset repositories: New constructed image datasets
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, Oct. 2022.
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, Oct. 2022.
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, T. Dardouri, M. Kaaniche, G. Dauphin, "NNCD-IQA: A New Neural Networks based Compressed Database for Image Quality Assessment", Multimedia Tools and Applications, Springer, Sept. 2022.
Open-source codes: Some deep learning based methods
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.
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, Oct. 2022.
T. Dardouri, M. Kaaniche, A. Benazza, J.-C. Pesquet, "Dynamic Neural Network for Lossy-to-Lossless Image Coding", IEEE Transactions on Image Processing, vol. 31, pp. 569-584, Dec. 2021.
Z. A. Khan, A. Beghdadi, M. Kaaniche, and F. A. 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.