基于图像分割的快速分形编码

Yancong Yang, Ruidong Peng
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引用次数: 9

摘要

分形编码是一种新的图像压缩方法,但基线分形编码需要在范围块和众多的域块之间进行最佳匹配搜索,耗时较长。为了提高编码速度,提出了一种基于图像分割的快速分形编码算法。在编码之前,首先将图像分割成小区域,然后在小区域内减少匹配搜索的时间,从而快速地对每个区域进行编码。该算法也便于编程。对标准图像的分形压缩实验表明,该算法大大缩短了编码时间,而解码图像的质量略有下降。与基准分形算法相比,该算法可将编码速度提高约1300倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Fractal Coding Based on Dividing of Image
Fractal coding is a new method of image compression, however, the baseline fractal image coding is time consuming due to the best matching search between range blocks and numerous domain blocks. In order to improve the encoding speed, a fast fractal coding algorithm was proposed based on image dividing. An image was first divided into small regions before encoding and then each region was encoded quickly because the time of matching search has been reduced in a small image region. Such algorithm is also convenient for programming. Experiments on fractal compressing of standard images show that the proposed algorithm reduced the encoding time greatly while the quality of decoding image was reduced slightly. In comparison with the baseline fractal algorithm, this proposed algorithm can speed up the encoding process by about 1300 times.
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