DocumentCode :
698042
Title :
Improved colour decorrelation for lossless colour image compression using the LAR codec
Author :
Pasteau, Francois ; Strauss, Clement ; Babel, Marie ; Deforges, Olivier ; Bedat, Laurent
Author_Institution :
IETR/Image Group Lab., INSA Rennes, Rennes, France
fYear :
2009
fDate :
24-28 Aug. 2009
Firstpage :
2122
Lastpage :
2126
Abstract :
Next generations of still image codecs should not only have to be efficient in terms of compression ratio, but also propose other functionalities such as scalability, lossy and lossless capabilities, region-of-interest coding, etc. In previous works, we have proposed a scalable compression method called LAR, for Locally Adaptive Resolution, that covers these requirements. In particular, the Interleaved S+P scheme offers an efficient mean to compress images. In this paper, three modifications of this coder are proposed to extend its capabilities to the lossless coding of colour images. Firstly, decorrelation of the image components is introduced by using reversible colour transforms. Secondly, an adaptive decorrelation of the components is introduced. Finally, a classification between the image components is introduced. Results are then discussed and compared to the state of the art, thus revealing high compression performances of our coding solution.
Keywords :
codecs; data compression; image classification; image coding; image colour analysis; LAR codec; adaptive decorrelation; colour decorrelation; locally adaptive resolution; lossless colour image compression; region-of-interest coding; reversible colour transforms; still image codecs; Decorrelation; Image coding; Image color analysis; Image resolution; Scalability; Transform coding; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7
Type :
conf
Filename :
7077616
Link To Document :
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