Title
Coding Techniques for CFA Data Images
Abstract
In this paper we present a comparison between different approaches to CFA (Colour Filter Array) images encoding. We show different performances 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 different computational complexity and memory requirement of the different encoding approaches is also presented.
Year
DOI
Venue
2003
10.1109/ICIAP.2003.1234086
ICIAP
Keywords
Field
DocType
cfa image,classical jpeg,colour filter array,different computational complexity,typical image generation pipeline,low complexity,coding techniques,different approach,colour reconstructed image,different performance,different encoding approach,cfa data images,image reconstruction,optical filters,computational complexity
Iterative reconstruction,Computer vision,Feature detection (computer vision),Pattern recognition,Computer science,Image processing,Coding (social sciences),JPEG,Vector quantization,Artificial intelligence,Computational complexity theory,Encoding (memory)
Conference
ISBN
Citations 
PageRank 
0-7695-1948-2
5
0.52
References 
Authors
7
4
Name
Order
Citations
PageRank
S. Battiato1503.78
A. Bruna2986.97
A. Buemi3323.48
F. Naccari450.52