• DocumentCode
    304460
  • Title

    A bracket classified coding scheme for image compression

  • Author

    Lin, Chihfeng C. ; Pease, Daniel J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    209
  • Abstract
    This paper presents a new image compression scheme, called bracket classified coding (BCC), to be used during image transform coding. This scheme divides non-overlapping pixel groups called brackets into classes on the basis of spatial features. Each class is identified by a label. Only a subset of selected pixel values are sent for DPCM/DCT hybrid encoding. In addition, this scheme exploits cross correlation among class labels when encoding the class information. A scanning method is developed to generate drives. A drive represents a run of labels with the same class. It is the drives, rather than individual labels, that are coded with the Huffman algorithm. Simulation results show that the excellence of the visual quality, bit rate, and processing speed, with 2×2 bracket segments
  • Keywords
    Huffman codes; correlation methods; data compression; differential pulse code modulation; discrete cosine transforms; image classification; image coding; image segmentation; modulation coding; transform coding; DPCM/DCT hybrid encoding; Huffman algorithm; bit rate; bracket classified coding; bracket segments; bracket subsampling; class information encoding; class labels; cross correlation; image compression; image reconstruction; image transform coding; nonoverlapping pixel groups; processing speed; scanning method; simulation results; spatial features; visual quality; Bit rate; Discrete cosine transforms; Encoding; Image analysis; Image classification; Image coding; Image segmentation; Performance analysis; Pulse modulation; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.559470
  • Filename
    559470