Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1519
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Title: A high performance lossless Bayer image compression scheme
Authors: Chung, KH
Chan, YH 
Fu, CH
Chan, YL 
Issue Date: 2007
Source: ICIP 2007: 2007 IEEE International Conference on Image Processing : proceedings : September 16-19, 2007, San Antonio, Texas, U.S.A., p. II353-II356
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.
Keywords: Cameras
Color filter array
Image compression
Publisher: IEEE
ISBN: 1-4244-1437-7
Rights: © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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