DocumentCode :
3312966
Title :
A low cost algorithm for CFA data compression
Author :
Bruna, Arcangelo ; Buemi, Antonio ; Vella, Filippo ; Vitali, Andrea
Author_Institution :
AST Catania Lab, STMicroelectronics, Catania, Italy
fYear :
2006
fDate :
7-11 Jan. 2006
Firstpage :
385
Lastpage :
386
Abstract :
This paper introduces a new, low cost algorithm based on vector quantization (VQ) that allows compression of data in color filter array (CFA), the format provided by the physical sensor in almost all the digital still cameras (DSCs) and video cameras. The proposed method allows a compression of 45% with no visual loss in the output.
Keywords :
image coding; optical filters; vector quantisation; video cameras; color filter array; data compression; digital still cameras; physical sensor; vector quantization; video cameras; Costs; Data compression; Digital cameras; Image coding; Image reconstruction; Interpolation; Pixel; Quantization; Sensor arrays; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2006. ICCE '06. 2006 Digest of Technical Papers. International Conference on
Print_ISBN :
0-7803-9459-3
Type :
conf
DOI :
10.1109/ICCE.2006.1598472
Filename :
1598472
Link To Document :
بازگشت