• DocumentCode
    867525
  • Title

    Perceptual coding of digital monochrome images

  • Author

    Tan, Damian M. ; Wu, Hong Ren ; Yu, ZhengHua

  • Author_Institution
    Sch. of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia
  • Volume
    11
  • Issue
    2
  • fYear
    2004
  • Firstpage
    239
  • Lastpage
    242
  • Abstract
    A novel perceptual image coder of gray level images is presented. This coder adopts the EBCOT coding structure employed in the JPEG2000 image coding standard , coupled with an advanced vision model based perceptual distortion measure for rate-distortion optimization to produce coded images with improved visual quality. The proposed coder maintains the EBCOT coding features such as scalability and is fully bitstream compliant with the JPEG2000 standard. Results of subjective evaluations, using comparative forced-choice subjective tests, demonstrated the superior performance of the proposed perceptual coder over the the EBCOT/JPEG2000 benchmark coders.
  • Keywords
    code standards; image coding; optimisation; rate distortion theory; EBCOT coding structure; EBCOT/JPEG2000 benchmark coders; JPEG2000 image coding standard; bitstream; digital monochrome images; forced-choice subjective tests; gray level images; human vision system; perceptual coding; perceptual distortion metric; rate-distortion optimization; vision modeling; visual quality; Australia; Brain modeling; Code standards; Distortion measurement; Frequency; Humans; Image coding; Optical distortion; Optical sensors; Rate-distortion;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2003.821730
  • Filename
    1261989