Image and Video Processing investigates the computational manipulation of image and video data for the purpose of improving the acquisition, data communication, display and information extraction. This technology enables the coding, restoration, enhancement, rendering and analysis of images and video. These are processing steps necessary in every image and video system, including remote sensing, video surveillance systems, and biomedical imaging systems, to mention a few. The constant evolution of the imaging systems as well as the increasing volume of image and video data collected, stored and transmitted require this technology to evolve accordingly, while becoming more integrated with principles of communications, as well as machine learning and data science. This will enable enhanced applications in robotics, space exploration, telepresence, multimedia communication, medical imaging, video surveillance, defense and security.
Affiliated Faculty
Recent Publications
- X. Xu, Y. Ye and X. Li, "Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization," in IEEE Transactions on Computational Imaging, vol. 6, pp. 968-980, 2020.
- Xiaoxia Sun, Nasser M. Nasrabadi and Trac D. Tran, "Supervised Deep Sparse Coding Networks for Image Classification," IEEE Trans. on Image Processing, vol. 29, no. 7, pp. 405-418, July 17, 2019.
- S. Motiian, F. Siyahjani, R. Almohsen and G. Doretto, "Online Human Interaction Detection and Recognition With Multiple Cameras," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 3, pp. 649-663, March 2017.