• DocumentCode
    2716741
  • Title

    Block Truncation Coding Using a Set of Predefined Bit Planes

  • Author

    Amarunnishad, T.M. ; Govindan, V.K. ; Mathew, Abraham T.

  • Volume
    3
  • fYear
    2007
  • fDate
    13-15 Dec. 2007
  • Firstpage
    73
  • Lastpage
    78
  • Abstract
    A simple and easy to implement method to improve the block truncation coding (BTC) is proposed for image compression. A set of predefined bit planes is defined independently of the images to be encoded. The bit rate is considerably reduced by encoding the index of the predefined bit planes using Huffman encoding. Experimental results show that at lower bit rate the proposed method provides acceptable visual quality reconstructed images. Keywords: Image compression; Block truncation coding; Bit rate; Peak signal to noise ratio
  • Keywords
    Application software; Bit rate; Computational intelligence; Digital images; Image coding; Image quality; Image reconstruction; Image storage; PSNR; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
  • Conference_Location
    Sivakasi, Tamil Nadu
  • Print_ISBN
    0-7695-3050-8
  • Type

    conf

  • DOI
    10.1109/ICCIMA.2007.239
  • Filename
    4426344