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Conference Papers Year : 2009

Improved colour decorrelation for lossless colour image compression using the LAR codec

Abstract

Next generations of still image codecs should not only have to be e±cient 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 o®ers an e±cient mean to compress images. In this paper, three modi¯cations 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.
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Dates and versions

hal-00392036 , version 1 (05-06-2009)

Identifiers

  • HAL Id : hal-00392036 , version 1

Cite

François Pasteau, Clément Strauss, Marie Babel, Olivier Déforges, Laurent Bédat. Improved colour decorrelation for lossless colour image compression using the LAR codec. European Signal Processing Conference, EUSIPCO'09, Aug 2009, Glasgow, United Kingdom. pp.1-4. ⟨hal-00392036⟩
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