• DocumentCode
    2099872
  • Title

    Color image compression by moment-preserving and block truncation coding techniques

  • Author

    Yang, Chen-Kuei ; Lin, Ja-Chen ; Tsai, Wen-Hsiang

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    3
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    972
  • Abstract
    A new color image compression technique based on moment-preserving and block truncation coding (BTC) is proposed. An input image is divided into non-overlapping blocks. And each block is coded by two representative colors, or equivalently, by two sets of tristimulus values (R1, G1, B1) and (R2, G2, B2). To compute the two representative colors of each block, some color moments of the block are preserved, and the two sets of desired tristimulus values are computed accordingly using analytic formulas. The compression ratio is 6 when the block size is 4×4. Furthermore, a simple method is applied to quantize the bit map into 64 predefined bit maps and requantize each color component from 8 bits into 4 bits. An average compression ratio of 14.00 can be achieved
  • Keywords
    data compression; image coding; image colour analysis; quantisation (signal); analytic formulas; average compression ratio; bit map quantisation; block truncation coding; color component; color image compression; color moments; image coding; input image; moment-preserving techniques; non-overlapping blocks; representative colors; tristimulus values; Compression algorithms; Councils; Covariance matrix; Differential equations; Educational institutions; Image coding; Image color analysis; Information management; Information science; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413700
  • Filename
    413700