• DocumentCode
    1307986
  • Title

    Iteration-free fractal image coding based on efficient domain pool design

  • Author

    Chang, Hsuan T. ; Kuo, Chung J.

  • Author_Institution
    Dept. of Inf. Manage., Chao Yang Univ. of Technol., Taichung, Taiwan
  • Volume
    9
  • Issue
    3
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    329
  • Lastpage
    339
  • Abstract
    The domain pool design is one of the dominant issues which affect the coding performance of fractal image compression. In this paper, we employ the LBG algorithm and propose a block averaging method to design the efficient domain pools based on a proposed iteration-free fractal image codec. The redundancies between the generated domain blocks are reduced by the proposed methods. Therefore, we can obtain the domain pools that are more efficient than those in the conventional fractal coding schemes and thus the coding performance is improved. On the other hand, the iteration process in the conventional fractal coding scheme not only requires a large size of memory and a high computation complexity but also prolongs the decoding process. The proposed iteration-free fractal codec can overcome the problems above. In computer simulation, both the LBG-based and block-averaging methods for the domain pool design in the proposed iteration free scheme achieve excellent performances. For example, based on the proposed block-averaging method, the decoded Lena image has at least a 0.5 dB higher PSNR (under the same bit rate) and an eight-time faster decoding speed than the conventional fractal coding schemes that require iterations
  • Keywords
    codecs; data compression; decoding; fractals; image coding; LBG algorithm; Lena image; PSNR; block averaging method; decoding speed; domain pool design; fractal image codec; fractal image coding; image compression; iteration free scheme; Algorithm design and analysis; Bit rate; Codecs; Computer simulation; Design methodology; Fractals; Image coding; Iterative decoding; PSNR; Partitioning algorithms;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.826772
  • Filename
    826772