DocumentCode
2073135
Title
A Shortcut to Compressing Bayer-Pattern Imagery Losslessly
Author
Xu, Xinfeng ; Hei, Yong
Author_Institution
ASIC & Syst. Dept., CAS, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CISP.2009.5301044
Filename
5301044
Link To Document