一种加快分形图像解码收敛速度的方法  

A FAST CONVERGENCE ALGORITHM FOR FRACTAL IMAGE DECODING

作　　者：袁宗文[1] 鲁业频[1] 

机构地区：[1]巢湖学院物理与电子科学系,安徽巢湖238000

出　　处：《巢湖学院学报》2009年第3期68-70,共3页Journal of Chaohu University

摘　　要：通过对码本设置阈值的方法来收缩对比度因子,提出了一种新的快速分形图像解码算法。实验结果表明该算法获得了较基本分形算法质量较高的第一次迭代后图像,在图像质量降质较小的情况下较基本分形解码明显地加快了收敛速度,从而可较好地满足需要超高速图像解码的应用场合(如实时视频传输)。A new fast fractal image decoding algorithm was proposed based on the contrast factors shrinked through setting some thresholds for the codebook. The experiment results showed that the algorithm could gain a higher quality of decoding image after the first iteration decoding than the baseline fractal decoding, accelerate obviously converging in contrast to the baseline fractal decoding with a less degradation of the decoding image, and then was preferably content to the case of superfast image decoding applications（e.g.,real-time video transmission）.

关 键 词：分形 分形解码 阈值 收缩对比度因子 快速收敛 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]