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  • 标题:Advanced Fractal Image Coding Based on the Quadtree
  • 本地全文:下载
  • 作者:Ruhiat Sultana ; Nisar Ahmed ; Shaik Mahaboob Basha
  • 期刊名称:Computer Engineering and Intelligent Systems
  • 印刷版ISSN:2222-1727
  • 电子版ISSN:2222-2863
  • 出版年度:2011
  • 卷号:2
  • 期号:3
  • 页码:129-136
  • 语种:English
  • 出版社:International Institute for Science, Technology Education
  • 摘要:Fractal image coding simply based on quad tree is a unique technique for still image compression. Compared with other image compression methods, fractal image coding has the advantage of higher compression ratio, higher decoding speed and decoded image having nothing to do with the resolution of image. It spends too much time to look for the best matching R i block on encoding. To improve the encoding speed, we must narrow the search range and improve the search skills to ensure the best match block falls within our range. In this paper, an advanced fractal image compression algorithm based on quad tree is proposed. First, we can improve the construction method of search attractor by constructing directly from the big D i block, so it can save a lot of searching time in encoding. Second, the attractors can be self-constructed, so it is not happened that the attractor is not found in the traditional methods. Experimental result shows that the algorithm makes image coding faster and more efficiency.
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