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DCT域的分形图像编码算法的改进
引用本文:高尚兵,张建伟,夏德深.DCT域的分形图像编码算法的改进[J].计算机工程,2006,32(23):221-223.
作者姓名:高尚兵  张建伟  夏德深
作者单位:南京信息工程大学数学系,南京,210044
基金项目:香港特区政府研究资助局资助项目
摘    要:对DCT域的分形编码算法进行了研究,提出了改进的算法。基于人眼视觉系统选择平坦块,选择出DCT域中的均匀部分,直接将其直流部分编码输出,不需分形匹配。为了降低匹配时间,在DCT域中,定义域块的8种变换的计算可以简化为两组内积。结果表明,在相同的匹配误差的情况下,该算法得到了更好的恢复效果,并且缩短了编码时间。

关 键 词:分形  离散余弦变换  人眼视觉系统  均方误差
文章编号:1000-3428(2006)23-0221-03
收稿时间:01 30 2006 12:00AM
修稿时间:2006-01-30

Improvement of Fractal Image Coding in the DCT Domain
GAO Shangbin,ZHANG Jianwei,XIA Deshen.Improvement of Fractal Image Coding in the DCT Domain[J].Computer Engineering,2006,32(23):221-223.
Authors:GAO Shangbin  ZHANG Jianwei  XIA Deshen
Affiliation:(Department of Mathematics, Nanjing University of Information Science & Technology, Nanjing 210044)
Abstract:On the research of the fractal image coding in DCT domain, this paper presents an improved algorithm. In the improved algorithm, plain blocks are selected based on human visual system. Then by selecting out the uniform parts in the DCT domain, the direct current encodes directly without any fractal matching. For matching time reducing, the mean squared error computations of the eight orientations of the domain blocks are simply reduced into two groups of inner products in the DCT domain. The result shows for the same matching errors, this algorithm not only makes the image compressed effectively with high PSNR and much better visual effect, but also reduces processing time in an efficient way.
Keywords:Fractal  DCT  Human visual system(HVS)  Mean squared error(MSE)
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