• DocumentCode
    1409098
  • Title

    An efficient weight optimization algorithm for image representation using nonorthogonal basis images

  • Author

    Chan, Yuk-Hee

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Kowloon, Hong Kong
  • Volume
    5
  • Issue
    8
  • fYear
    1998
  • Firstpage
    193
  • Lastpage
    195
  • Abstract
    Though image coding techniques that employ subsets of nonorthogonal basis images chosen from two or more transform domains have been shown consistently to yield higher image quality than those based on one transform for a fixed compression ratio, they have not been widely employed due to their very high computational complexity of existing realization approaches. This paper presents a new realization approach for mixed-transform image representation. Computational complexity can be greatly reduced compared with existing approaches.
  • Keywords
    computational complexity; discrete cosine transforms; image coding; image representation; optimisation; transform coding; DCT; compression ratio; computational complexity reduction; discrete Haar transform; discrete cosine transform; efficient weight optimization algorithm; image coding; image quality; mixed-transform image representation; nonorthogonal basis images; transform domains; Computational complexity; Distortion; Image coding; Image quality; Image reconstruction; Image representation; Iterative algorithms; Matching pursuit algorithms; Signal processing algorithms; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.704969
  • Filename
    704969