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Improved algorithm of fractal compression based on average deviation

文献类型: 外文期刊

作者: Qin, Xiaoli 1 ; Luo, Wei 1 ; Li, Yuping 1 ; Xie, Zhenghui 1 ; Ye, Lu 1 ;

作者机构: 1.Chinese Acad Trop Agr Sci, Inst Sci & Tech Informat, Danzhou 571737, Hainan, Peoples R China

关键词: the average deviation;fractal encoding;scale factor;positioning factor

期刊名称:SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS II, PTS 1 AND 2

ISSN: 1660-9336

年卷期: 2014 年 475-476 卷

页码:

收录情况: SCI

摘要: Aiming at deficiency of fractal image compression, encoding time length and large amount of calculation, an improved algorithm of fractal compression is proposed based on the average deviation. First, divided image into blocks by using the characteristics of the average deviation, then determined the image block matching constraints by the application of the scale factor to simplify the calculation method, and finally limited the search range with the constraints, thus decrease the amount of the search range, improve the efficiency of the domain block matching. The simulation results show that the improved algorithm can reduce the computation of block matching, and improve the fractal image coding efficiency.

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