DocumentCode :
705947
Title :
A lossless compression scheme for Bayer CFA images
Author :
King-Hong Chung ; Yuk-Hee Chan
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
649
Lastpage :
652
Abstract :
In most digital cameras, demosaicing and compression are generally performed sequentially. Recently, it was found that compression-first schemes outperform the conventional demosaicing-first schemes in terms of image quality. An efficient lossless compression scheme for Bayer CFA images is presented in this paper. It exploits a context matching technique to rank the neighboring pixels when predicting a pixel. The prediction residue is then encoded with an adaptive coding scheme using Rice code. Simulation results show that the proposed algorithm can achieve a better compression performance as compared with conventional lossless CFA image coding methods.
Keywords :
adaptive codes; data compression; image coding; image matching; optical filters; Bayer CFA images; Bayer color filter array; Rice code; adaptive coding scheme; context matching technique; conventional demosaicing-first schemes; digital cameras; image coding methods; image quality; lossless compression scheme; Color; Context; Estimation; Image coding; Image color analysis; Signal processing; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6
Type :
conf
Filename :
7098883
Link To Document :
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