I am currently a fifth-year Ph. Zhi-Pei Liang and Prof. Thomas S. My research interests include image restoration, video understanding and segmentation, and speech. Huang NeurIPS [Paper] [Code] Inspired by the robustness and efficiency of sparse representation in sparse coding based image restoration models, we investigate the sparsity of neurons in deep networks.
Special Issue on Deep Learning for Image Restoration - Call for Papers - Elsevier
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging Abstract: Underwater images play a key role in ocean exploration but often suffer from severe quality degradation due to light absorption and scattering in water medium. Although major breakthroughs have been made recently in the general area of image enhancement and restoration, the applicability of new methods for improving the quality of underwater images has not specifically been captured.
Image restoration and image enhancement are key computer vision tasks, aiming at the restoration of degraded image content or the filling in of missing information. Recent years have witnessed an increased interest from the vision and graphics communities in these fundamental topics of research. Not only has there been a constantly growing flow of related papers, but also substantial progress has been achieved.
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