• DocumentCode
    1389541
  • Title

    Shape-VQ-based lossless hybrid ADPCM/DCT coder

  • Author

    Wang, J. ; Naghdy, G.

  • Author_Institution
    Sch. of Electr., Comput. & Telecommun. Eng., Wollongong Univ., NSW, Australia
  • Volume
    147
  • Issue
    4
  • fYear
    2000
  • fDate
    8/1/2000 12:00:00 AM
  • Firstpage
    313
  • Lastpage
    317
  • Abstract
    The discrete cosine transform (DCT) has been shown as an optimum encoder for sharp edges in an image (Andrew and Ogunbona, 1997). A conventional lossless coder employing differential pulse code modulation (DPCM) suffers from significant deficiencies in regions of discontinuity, because the simple model cannot capture the edge information. This problem can be partially solved by partitioning the image into blocks that are supposedly statistically stationary. A hybrid lossless adaptive DPCM (ADPCM)/DCT coder is presented, in which the edge blocks are encoded with DCT, and ADPCM is used for the non-edge blocks. The proposed scheme divides each input image into small blocks and classifies them, using shape vector quantisation (VQ), as either edge or smooth. The edge blocks are further vector quantised, and the side information of the coefficient matrix is saved through the shape-VQ index. Evaluation of the compression performance of the proposed method reveals its superiority over other lossless coders
  • Keywords
    adaptive modulation; differential pulse code modulation; discrete cosine transforms; image coding; modulation coding; transform coding; vector quantisation; adaptive DPCM; adaptive differential pulse code modulation; coefficient matrix; compression performance; discrete cosine transform; edge information; image; lossless coders; nonedge blocks; shape vector quantisation; shape-VQ-based lossless hybrid ADPCM/DCT coder; sharp edges; side information;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:20000399
  • Filename
    872698