DocumentCode
2101388
Title
Coding techniques for CFA data images
Author
Battiato, S. ; Bruna, A. ; Buemi, A. ; Naccari, F.
fYear
2003
fDate
17-19 Sept. 2003
Firstpage
418
Lastpage
423
Abstract
In this paper we present a comparison between different approaches to CFA (colour filter array) image encoding. We show different performance offered by a new algorithm based on a vector quantization technique, JPEG-LS, a low complexity encoding standard and classical JPEG. We also show the effects of CFA image encoding on the colour reconstructed images by a typical image generation pipeline. A discussion about the computational complexity and memory requirement of the different encoding approaches is also presented.
Keywords
code standards; computational complexity; image coding; image colour analysis; image reconstruction; optical filters; storage management; vector quantisation; CFA data images; JPEG-LS; colour filter array; colour reconstructed images; computational complexity; image encoding; image generation pipeline; low complexity encoding standard; memory requirement; performance; vector quantization; Color; Encoding; Filters; Histograms; Image coding; Image reconstruction; Image storage; Performance evaluation; Pixel; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Processing, 2003.Proceedings. 12th International Conference on
Print_ISBN
0-7695-1948-2
Type
conf
DOI
10.1109/ICIAP.2003.1234086
Filename
1234086
Link To Document