• DocumentCode
    778369
  • Title

    An edge-oriented progressive image coding

  • Author

    Itoh, Yuji

  • Author_Institution
    Digital Audio & Video Syst. Lab., Texas Instrum. Tsukuba Res. & Dev. Center Ltd., Ibaraki, Japan
  • Volume
    6
  • Issue
    2
  • fYear
    1996
  • fDate
    4/1/1996 12:00:00 AM
  • Firstpage
    135
  • Lastpage
    142
  • Abstract
    An edge-oriented progressive image coding scheme using a hierarchical edge extraction is presented. This scheme is based on the two-component model, that is, edges and smooth component. We introduce searching near an approximate location algorithm for the edge extraction to avoid detecting spurious edges, thus, one can reproduce a primary image which conveys a general grasp of the scene while achieving the compression ratios as high as 250:1 for a head-and-shoulder image. By adding the smooth component to the primary image, we obtain acceptable quality images at the compression ratios over 60:1. It is shown through the simulations that the proposed scheme results in performance improvements over MPEG-2 I-picture coding in terms of both the subjective quality and signal-to-noise ratio. The main contributors of the performance improvement are: (1) a compact representation of the edge information using a hierarchical edge extraction and (2) a residual coding with a variable block size discrete cosine transform (DCT) employing an edge-based block segmentation
  • Keywords
    data compression; discrete cosine transforms; edge detection; image coding; image reconstruction; image representation; image segmentation; smoothing methods; transform coding; DCT; MPEG-2 I-picture coding; SNR; approximate location algorithm; compression ratios; edge based block segmentation; edge information representation; edge oriented progressive image coding; head-and-shoulder image; hierarchical edge extraction; image quality; image reconstruction; performance; primary image reproduction; residual coding; searching; signal-to-noise ratio; smooth component; subjective quality; two-component model; variable block size discrete cosine transform; Bit rate; Discrete cosine transforms; Humans; ISO standards; Image coding; Image edge detection; Image reconstruction; Layout; Signal to noise ratio; Transform coding;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/76.488821
  • Filename
    488821