Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1473
Title: A lossless compression scheme for Bayer color filter array images
Authors: Chung, KH
Chan, YH 
Keywords: Bayer pattern
Color filter array (CFA)
Digital camera
Entropy coding
Image compression
Issue Date: Feb-2008
Publisher: IEEE
Source: IEEE transactions on image processing, Feb. 2008, v. 17, no. 2, p. 134-144 How to cite?
Journal: IEEE transactions on image processing 
Abstract: In most digital cameras, Bayer color filter array (CFA) images are captured and demosaicing is generally carried out before compression. Recently, it was found that compression-first schemes outperform the conventional demosaicing-first schemes in terms of output image quality. An efficient prediction-based lossless compression scheme for Bayer CFA images is proposed in this paper. It exploits a context matching technique to rank the neighboring pixels when predicting a pixel, an adaptive color difference estimation scheme to remove the color spectral redundancy when handling red and blue samples, and an adaptive codeword generation technique to adjust the divisor of Rice code for encoding the prediction residues. Simulation results show that the proposed compression scheme can achieve a better compression performance than conventional lossless CFA image coding schemes.
URI: http://hdl.handle.net/10397/1473
ISSN: 1057-7149
DOI: 10.1109/TIP.2007.914153
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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