• DocumentCode
    1122062
  • Title

    Visual Entropy Gain for Wavelet Image Coding

  • Author

    Lee, Hyungkeuk ; Lee, Sanghoon

  • Author_Institution
    Wireless Network Lab., Yonsei Univ., Seoul
  • Volume
    13
  • Issue
    9
  • fYear
    2006
  • Firstpage
    553
  • Lastpage
    556
  • Abstract
    Wavelet image coding exhibits a robust error resilience performance by utilizing a naturally layered bitstream construction over a band-limited channel. In this letter, a new measure that appears to provide a better assessment of visual entropy for comparing and evaluating progressive image coders is defined based on a visual weight over the wavelet domain. This visual weight is characterized by the human visual system (HVS) over the frequency and spatial domains and is then utilized as a criterion for determining the coding order of wavelet coefficients, resulting in improved visual quality. A transmission gain, which is expressed by visual entropy, of up to about 23% can be obtained at a normalized channel throughput of about 0.3. In accordance with the subjective visual quality, a relatively high gain can be obtained at a low channel capacity
  • Keywords
    bandlimited communication; channel capacity; channel coding; entropy codes; frequency-domain analysis; image coding; wavelet transforms; HVS; band-limited channel; channel capacity; frequency domain analysis; human visual system; layered bitstream construction; spatial domain analysis; visual entropy; wavelet image coding; Channel capacity; Entropy; Humans; Image coding; Resilience; Robustness; Throughput; Visual system; Wavelet coefficients; Wavelet domain; Foveation; human visual system; visual entropy; visual entropy gain; wavelet image coding;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2006.874464
  • Filename
    1673418