Azeddine Beghdadi
Affiliations: | Université de Sherbrooke, Sherbrooke, Québec, Canada |
Area:
Computer ScienceGoogle:
"Azeddine Beghdadi"Children
Sign in to add traineeKamel Belkacem Boussaid | grad student | 1992-1996 | Pierre & Marie Curie University, Paris, France (Physics Tree) |
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Publications
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Khan ZA, Beghdadi A, Cheikh FA, et al. (2020) Towards a video quality assessment based framework for enhancement of laparoscopic videos. Arxiv: Image and Video Processing. 11316 |
Sdiri B, Kaaniche M, Cheikh FA, et al. (2019) Efficient Enhancement of Stereo Endoscopic Images Based on Joint Wavelet Decomposition and Binocular Combination. Ieee Transactions On Medical Imaging. 38: 33-45 |
Shahkolaei A, Beghdadi A, Cheriet M. (2019) Blind quality assessment metric and degradation classification for degraded document images Signal Processing: Image Communication. 76: 11-21 |
Wang C, Alaya Cheikh F, Kaaniche M, et al. (2018) Variational based smoke removal in laparoscopic images. Biomedical Engineering Online. 17: 139 |
Almaadeed N, Asim M, Al-Maadeed S, et al. (2018) Automatic Detection and Classification of Audio Events for Road Surveillance Applications. Sensors (Basel, Switzerland). 18 |
Bezzine I, Kaaniche M, Boudjit S, et al. (2018) Sparse optimization of non separable vector lifting scheme for stereo image coding Journal of Visual Communication and Image Representation. 57: 283-293 |
Lahoulou A, Larabi MC, Beghdadi A, et al. (2017) Knowledge-based Taxonomic Scheme for Full-Reference Objective Image Quality Measurement Models Electronic Imaging. 2017: 64-78 |
Saleem A, Beghdadi A, Boashash B. (2017) A distortion-free contrast enhancement technique based on a perceptual fusion scheme Neurocomputing. 226: 161-167 |
Qureshi MA, Deriche MA, Beghdadi A, et al. (2017) A critical survey of state-of-the-art image inpainting quality assessment metrics Journal of Visual Communication and Image Representation. 49: 177-191 |
Qureshi MA, Beghdadi A, Deriche M. (2017) Towards the design of a consistent image contrast enhancement evaluation measure Signal Processing-Image Communication. 58: 212-227 |