• DocumentCode
    3479382
  • Title

    Still image coding using a wavelet-like transform

  • Author

    Maalouf, Aldo ; Larabi, Mohamed-Chaker ; Fernandez-Maloigne, Christine

  • Author_Institution
    XLIM-SIC Lab., Univ. of Poitiers, Poitiers, France
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1893
  • Lastpage
    1896
  • Abstract
    In this paper, a new image coding scheme based on a wavelet-like transform derived from orthogonal polynomial basis is presented. From a set of bivariate orthogonal polynomial functions, we first obtain the 2D non-separable wavelet functions to propose a wavelet-like transform coding. The motivation behind using orthogonal polynomials is that they exhibit some properties related to the human visual system (HVS). After applying the proposed transformation, the transform coefficients are threshold coded using quantization and bit allocation as in JPEG baseline system. The performance of the proposed transform coding is reported. The proposed coding scheme is also compared with other transform coding methods such as JPEG, JPEG 2000 and JPEG-XR/HDPHOTO.
  • Keywords
    image coding; polynomials; transform coding; wavelet transforms; 2D nonseparable wavelet functions; JPEG baseline system; bit allocation; bivariate orthogonal polynomial functions; human visual system; orthogonal polynomial basis; quantization; still image coding; wavelet-like transform; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Frequency; Image coding; Image reconstruction; Polynomials; Quantization; Transform coding; Wavelet transforms; Image compression; transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413676
  • Filename
    5413676