• DocumentCode
    604415
  • Title

    An improved fast fractal image coding algorithm

  • Author

    Tang Guo Wei ; Wu Shuang ; Zhang Yan

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Northeast Pet. Univ., Daqing, China
  • fYear
    2012
  • fDate
    29-31 Dec. 2012
  • Firstpage
    730
  • Lastpage
    732
  • Abstract
    With the development of the Internet, new requirements are put forward on image compression effect, compression ratio and encoding and decoding time. The principle of fractal coding is novel. It breaks through the traditional entropy boundary theory. Especially its high compression ratio makes the fractal image coding become a hot research point. But this method has the encoding and decoding lopsided problem. Based on the basic principle of fractal image compression, t h is paper proposes a calculation method which is based on the main diagonal, namely only using the two diagonal data to do mean calculation. Thus not only reduce the data in operation, but also make the time be reduced to a certain degree. The experimental results show that, under the same quality of the image reconstruction, the algorithm makes the encoding and decoding time be greatly reduced.
  • Keywords
    decoding; entropy; image coding; image reconstruction; Internet; compression ratio; decoding lopsided problem; decoding time; diagonal data; encoding lopsided problem; encoding time; entropy boundary theory; image compression effect; image reconstruction; improved fast fractal image coding algorithm; Fractal Image Coding; Fractal Theory; Image Compression; Iterative Function System);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4673-2963-7
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2012.6526037
  • Filename
    6526037