Title :
The LAR method as a new scalable region-based technique for color images compression at low bit rates
Author :
Deforges, O. ; Bedat, L. ; Ronsin, J.
Author_Institution :
INSA, Rennes, France
Abstract :
This paper presents a very efficient solution for chromatic image coding using a region technique. The originality relies in the fact that the region´s description is not transmitted, but deduced from the low resolution luminance representation, and thus does not induce any overhead. The Y component is compressed by the basic LAR (locally adaptive resolution) codec, a content-based approach composed of a spatial coder, to achieve low bit rates, and a spectral coder, to compress the error image. The two coders, as well as the region description, share the same data representation structure, avoiding the contour or block artifacts of traditional techniques
Keywords :
data compression; data structures; image coding; image colour analysis; image resolution; block artifacts; chromatic image coding; color image compression; contour artifacts; data representation structure; error image compression; locally adaptive resolution method; low bit rates,; luminance representation; scalable region-based technique; spatial coder; spectral coder; Bit rate; Color; Discrete cosine transforms; Image coding; Image quality; Image reconstruction; Image resolution; Image texture; Quantization; Shape;
Conference_Titel :
Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on
Conference_Location :
Pula
Print_ISBN :
953-96769-4-0
DOI :
10.1109/ISPA.2001.938608