2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MP-P4.7
Session:Image Coding I
Time:Monday, September 17, 14:30 - 17:10
Presentation: Poster
Title: A HIGH PERFORMANCE LOSSLESS BAYER IMAGE COMPRESSION SCHEME
Authors: King Hong Chung; The Hong Kong Polytechnic University 
 Yuk Hee Chan; The Hong Kong Polytechnic University 
 Chang Hong Fu; The Hong Kong Polytechnic University 
 Yui Lam Chan; The Hong Kong Polytechnic University 
Abstract: Demosaicing and compression are generally performed sequentially in most digital cameras. Recent reports show that the compression-first scheme outperforms the conventional demosaicing-first scheme in terms of image quality and complexity. In this paper, an efficient lossless compression scheme for Bayer images is presented. It exploits a context matching technique to rank the neighboring pixels for predicting a pixel. Besides, an adaptive color difference estimation scheme is also proposed to remove the spectral redundancy. Simulation results show that the proposed algorithm can achieve a better compression performance as compared with the existing lossless CFA image coding methods.



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