• DocumentCode
    961765
  • Title

    Matching Pursuit-Based Region-of-Interest Image Coding

  • Author

    Ebrahimi-Moghadam, Abbas ; Shirani, Shahram

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont.
  • Volume
    16
  • Issue
    2
  • fYear
    2007
  • Firstpage
    406
  • Lastpage
    415
  • Abstract
    Matching pursuit (MP) is a multiresolution signal analysis method and can be used to render a selected region of an image with a specific quality. A novel, scalable, and progressive MP-based region-of-interest image-coding scheme is presented. The method is capable of providing a trade off between rate, distortion, and complexity. The method also provides an interactive way of information refinement for regions of an image with higher receiver´s priority. By selecting a proper subset of the huge initial MP dictionary, using the method described in this paper, the complexity burden of MP analysis can be adapted to the computational power of the image encoder
  • Keywords
    computational complexity; image coding; image matching; image resolution; matching pursuit; multiresolution signal analysis method; region-of-interest image coding; Bit rate; Dictionaries; Image analysis; Image coding; Image resolution; Iterative algorithms; Matching pursuit algorithms; Scalability; Signal resolution; Streaming media; Embedded coding; image compression; lossy compression; matching pursuit (MP); region-of-interest (ROI); scalability; Algorithms; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2006.888333
  • Filename
    4060935