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一种基于小波变换的邻域搜索分形图像编码
引用本文:李从宏,于凤芹. 一种基于小波变换的邻域搜索分形图像编码[J]. 微计算机信息, 2006, 22(1): 196-198
作者姓名:李从宏  于凤芹
作者单位:214122,江苏无锡江南大学通信与控制学院
摘    要:本文根据文献的研究结果,对传统的分形图像编码算法加以改进,即使用邻域搜索法代替传统的全局搜索法。并将其运用到图像小波变换后的低频部分,同时为得到较好的图像恢复效果,对高频部分采用进行零树编码。实验表明,该方法在较好的恢复图像的前提下,大大的提高了编码的速度。

关 键 词:小波变换  分形编码  零树编码  块匹配
文章编号:1008-0570(2006)01-1-0196-03
修稿时间:2005-07-03

A neighbor-region search fractal image coding based on wavelet transform
Li,Conghong,Yu,Fengqin. A neighbor-region search fractal image coding based on wavelet transform[J]. Control & Automation, 2006, 22(1): 196-198
Authors:Li  Conghong  Yu  Fengqin
Abstract:In this paper, the neighbor-region search fractal image coding method is proposed to take the place of the traditional fractal image coding according to the research results of references 1 and 2. We apply the improved fractal image coding algorithm only to the low-frequency coefficients after the wavelet transform, and to get a better image recovering, zero-tree encoding algorithm is applied to the height-frequency coefficients. Experiment results show that the coding time is reduced evidently while the quality of reconstructed image is the same.
Keywords:wavelet transform   fractal image coding   Zero tree coding  Block mapping.
本文献已被 CNKI 万方数据 等数据库收录!
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