Feng Shao, Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China; Department of Information and Electronics Engineering, Zhejiang University, 310027, China
Gangyi Jiang, Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China; National Key Laboratory of Machine Perception, Peking University, 100871, China
Mei Yu, Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China; National Key Laboratory of Machine Perception, Peking University, 100871, China
Xiexiong Chen, Department of Information and Electronics Engineering, Zhejiang University, 310027, China
Because of scene illumination or camera calibration, color appearance of the same object between different viewpoints may be different in multiview video system. Traditional illumination compensation algorithm for image is unable to solve this problem effectively. In this paper, a novel color correction method for multiview video system is proposed based on retinex color constancy theory. To eliminate influence of un-consistent light sources, histogram equalization, retinex processing and color restoration are performed for multiview images to extract reflectance that describes object intrinsic properties. Experimental results show that the proposed image correction method for multiview video system is effective.
Citation:
Feng Shao, Gangyi Jiang, Mei Yu, Xiexiong Chen, "A New Image Correction Method for Multiview Video System," icme, pp.205-208, 2006 IEEE International Conference on Multimedia and Expo, 2006
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