Document Detail


A lossless compression scheme for Bayer color filter array images.
MedLine Citation:
PMID:  18270106     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
King-Hong Chung; Yuk-Hee Chan
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on image processing : a publication of the IEEE Signal Processing Society     Volume:  17     ISSN:  1057-7149     ISO Abbreviation:  IEEE Trans Image Process     Publication Date:  2008 Feb 
Date Detail:
Created Date:  2008-02-13     Completed Date:  2008-03-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9886191     Medline TA:  IEEE Trans Image Process     Country:  United States    
Other Details:
Languages:  eng     Pagination:  134-44     Citation Subset:  IM    
Affiliation:
Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong. king.hong.chung@polyu.edu.hk
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artifacts
Color*
Colorimetry / methods*
Computer Graphics*
Data Compression / methods*
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Numerical Analysis, Computer-Assisted
Signal Processing, Computer-Assisted*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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