• DocumentCode
    2849738
  • Title

    Evaluation of lossless compression methods for gray scale document images

  • Author

    Savakis, Andreas E.

  • Author_Institution
    Dept. of Comput. Eng., Rochester Inst. of Technol., NY, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    136
  • Abstract
    A comparative study of lossless compression algorithms is presented. The following algorithms are considered: UNIX compress, gzip, LZW, CCITT Group 3 and Group 4, JBIG, old lossless JPEG, JPEG-LS based on LOCO, CALIC, FELICS, S+P Transform, and PNG. In cases where the algorithm under consideration may only be applied to binary data, the bit planes of the gray scale image are separated, with and without Gray encoding, and the compression is applied to individual bit planes. Testing is done using a set of document images obtained by gray scale scanning of prints of the eight standard CCITT images and a set of nine gray scale pictorial images. The results show that the highest compression is obtained using the CALIC and JPEG-LS algorithms
  • Keywords
    data compression; document image processing; image coding; transform coding; CALIC; CALIC algorithm; CCITT Group 3; CCITT Group 4; FELICS; Gray encoding; JBIG; JPEG-LS algorithm; JPEG-LS based LOCO; LZW; PNG; S+P Transform; UNIX compress; binary data; gray scale document images; gray scale image bit planes; gray scale pictorial images; gray scale scanning; gzip; lossless compression algorithms; lossless compression methods; old lossless JPEG; prints; standard CCITT images; Compression algorithms; Graphics; Image coding; Image resolution; Performance loss; Pixel; Propagation losses; Pulse modulation; Testing; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.900913
  • Filename
    900913