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基于误差阈值和分层搜索的快速分形图像压缩方法
Novel Fast Fractal Image Compression Approach Based on Error Threshold and Hierarchical Search
【摘要】 针对基本分形图像压缩方法耗时过长的不足 ,提出一种快速分形图像压缩方法 .首先给出分层搜索算法以减小待匹配父块的数量 ,然后引进误差阈值以减小待比较像素个数 .理论分析和试验结果表明 ,相对于经典分形压缩方法 (Jacqain) ,该方法在不影响信噪比和解码图像质量的前提下 ,大大提高了压缩速度 .
【Abstract】 One shortcoming of the standard fractal image compression methods is the excessive cost of time. Proposed a novel fast fractal image compression approach. Briefly, emploied hierarchical search method to reduce the number of father block, which will be matched, then reduce the pixel number by introducing an error threshold. Theoretical and simulation analysis indicate that the proposed method can achieve a faster compression speed than classical fractal image compression approach such as Jacqain with little influence of Signal to Noise and decode image quality.
【Key words】 fractal; iterative function system; image compression; error threshold, hierarchical search;
- 【文献出处】 小型微型计算机系统 ,Mini-micro Systems , 编辑部邮箱 ,2005年02期
- 【分类号】TP391.41
- 【被引频次】8
- 【下载频次】152