Title :
A Shortcut to Compressing Bayer-Pattern Imagery Losslessly
Author :
Xu, Xinfeng ; Hei, Yong
Author_Institution :
ASIC & Syst. Dept., CAS, China
Abstract :
Bayer pattern has been used in most color digital image sensors; FELICS is a smart algorithm to realize lossless compression. This paper does research on the possibility of combining both the characteristics of Bayer and FELICS to eliminate 3-color-channels transformation. After studying the context correlation in Bayer pattern by FELICS theory in an adjusted way, the approach of modifying original FELICS algorithm to suit Bayer pattern has been addressed clearly. With the experimental results, the usage of Bayer version FELICS has been validated at the end of this paper.
Keywords :
data compression; filtering theory; image coding; image sensors; 3-color-channels transformation; Bayer-pattern; FELICS; image coding; image compression; lossless compression; Application specific integrated circuits; Content addressable storage; Digital images; Image coding; Image sensors; Low pass filters; Microelectronics; Nearest neighbor searches; Pixel; Sensor arrays;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5301044
