• DocumentCode
    2032230
  • Title

    Enable Efficient Compound Image Compression in H.264/AVC Intra Coding

  • Author

    Ding, Wenpeng ; Lu, Yan ; Wu, Feng

  • Author_Institution
    Univ. of Sci. & Technol. of China, Hefei
  • Volume
    2
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    This paper presents an efficient compound image compression approach based on H.264/AVC intra coding. The text blocks are distinguished from the picture blocks and compressed with a new coding mode. In particular, the text blocks are represented by base colors and index map in spatial domain. A color quantization algorithm optimized for compression is designed to generate this representation. As for the entropy coding of text blocks, a structure-aware context-based arithmetic coder is developed. The mode selection algorithm based on rate distortion optimization is used to select the text blocks along with H.264/AVC intra modes, which can adapt to the targeted bit-rate. Experimental results show that the proposed scheme can achieve 2.8dB gain on average for compound images compared with H.264/AVC intra coding.
  • Keywords
    data compression; entropy codes; image coding; image colour analysis; H.264/AVC intra coding; color quantization algorithm; entropy coding; image compression; mode selection algorithm; rate distortion optimization; structure-aware context-based arithmetic coder; text block; Arithmetic; Asia; Automatic voltage control; Computer science; Entropy coding; Image coding; Image segmentation; Internet; Quantization; Transform coding; Compound image compression; color quantization; entropy coding; mode decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379161
  • Filename
    4379161