基于四叉树的分形图像编码

Chen Chunling, Wang Shaodi, Shan bingzhe
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引用次数: 3

摘要

提出了一种基于四叉树的分形图像编码方法。与基本的自动分形图像编码(automatic fractal image coding, BAFIC)相比,它克服了BAFIC的缺点:需要将图像分割成固定大小的正方形范围等。FICBQ图像分割简单,编码时可以获得较高的压缩比和较少的计算时间。实验结果表明,当FICBQ的PSNR为29.37 dB,压缩比为11.09时,其编码时间约为BAFIC的1/22。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fractal image coding based on the quadtree
A fractal image coding based on the quadtree (FICBQ) is presented in this paper. Compared with the basic automatic fractal image coding (BAFIC), it overcomes the BAFIC shortcomings: an image has to be divided into square ranges of a fixed size, etc. The FICBQ is simple in the image division and can obtain higher compression ratios and needs less computation time while coding. Experimental results show that when the FICBQ obtains a PSNR of 29.37 dB and compression ratio of 11.09, the coding time is about 1/22 of BAFIC's.
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