• 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