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Báo cáo hóa học: " Review Article Color in Image and Video Processing: Most Recent Trends and Future Research Direction"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Review Article Color in Image and Video Processing: Most Recent Trends and Future Research Direction | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 581371 26 pages doi 10.1155 2008 581371 Review Article Color in Image and Video Processing Most Recent Trends and Future Research Directions Alain Tremeau 1 Shoji Tominaga 2 and Konstantinos N. Plataniotis3 1 Laboratoire LIGIV Universite Jean Monnet 42000 Saint Etienne France 2 Department of Information and Image Sciences Chiba University Chiba 263-8522 Japan 3 The Edward S. Rogers Department ofECE University of Toronto Toronto Canada M5S3G4 Correspondence should be addressed to Alain Tremeau tremeau@ligiv.org Received 2 October 2007 Revised 5 March 2008 Accepted 17 April 2008 Recommended by Y.-P. Tan The motivation of this paper is to provide an overview of the most recent trends and of the future research directions in color image and video processing. Rather than covering all aspects of the domain this survey covers issues related to the most active research areas in the last two years. It presents the most recent trends as well as the state-of-the-art with a broad survey of the relevant literature in the main active research areas in color imaging. It also focuses on the most promising research areas in color imaging science. This survey gives an overview about the issues controversies and problems of color image science. It focuses on human color vision perception and interpretation. It focuses also on acquisition systems consumer imaging applications and medical imaging applications. Next it gives a brief overview about the solutions recommendations most recent trends and future trends of color image science. It focuses on color space appearance models color difference metrics and color saliency. It focuses also on color features color-based object tracking scene illuminant estimation and color constancy quality assessment and fidelity assessment color characterization and calibration of a display device. It focuses on quantization filtering and enhancement .