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
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