• DocumentCode
    1304047
  • Title

    Compressed image reproduction based on block decomposition

  • Author

    Lee, Sang-Rim

  • Author_Institution
    Dept. of Image Eng., Chung-Ang Univ., Seoul, South Korea
  • Volume
    3
  • Issue
    4
  • fYear
    2009
  • fDate
    8/1/2009 12:00:00 AM
  • Firstpage
    188
  • Lastpage
    199
  • Abstract
    A compressed image reproduction scheme is proposed by properly decomposing and manipulating the coefficients of discrete cosine transform (DCT) directly in the compressed domain. The basic idea of the proposed approach is to decompose each DCT block into several sub-blocks and to adjust the brightness and detail components of a given image for compressing dynamic range and enhancing contrast. Image reproduction based on the subblock decomposition can be done more precisely than any approach based on the normal block-sized approach. First, DCT coefficients of each block are decomposed into several sub-blocks. Next each sub-block´s coefficients are separated into brightness and detail components, and treated differently according to content analysis. Then, the enhanced coefficients are projected on the constraint sets to avoid some artefacts, and are composed back to the original order. The main advantages of the proposed algorithm are that (i) it can enhance the dynamic range and details without affecting the compressibility of the given image since it operates directly in the compressed domain, and (ii) it does not boost blocking artefacts around big edges without any further processing. In order to evaluate the proposed scheme, several base-line approaches are described and compared using enhancement quality measures.
  • Keywords
    data compression; discrete cosine transforms; image coding; image enhancement; content analysis; contrast enhancement; discrete cosine transform; enhancement quality measures; image compression; image reproduction; subblock decomposition;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9659
  • Type

    jour

  • DOI
    10.1049/iet-ipr.2007.0195
  • Filename
    5210058