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基于细节信息分类和结构相似的快速分形编码方法
引用本文:孟帆,叶正麟,潘璐璐.基于细节信息分类和结构相似的快速分形编码方法[J].计算机应用,2005,25(12):2849-2852.
作者姓名:孟帆  叶正麟  潘璐璐
作者单位:西北工业大学理学院
基金项目:国家自然科学基金资助项目(10070006)
摘    要:针对传统分形编码中编码时间过长的问题,提出了一种细节信息分类(Detail Information Classification,DIC)与结构相似(Structure Similarity,SSIM)指标相结合的快速分形编码方法。DIC方法将图像块的内部细节信息分布状况作为分类标准对定义域块库进行分类,SSIM指标分别从亮度、对比度和结构三个方面度量值域块与定义域块之间的匹配程度。通过将DIC方法与SSIM指标结合,可以加快分类速度、减少匹配运算时间。

关 键 词:分形编码    细节信息分类    结构相似指标
文章编号:1001-9081(2005)12-2849-04
收稿时间:2005-06-09
修稿时间:2005-06-092005-09-07

Fast fractal coding based on detail information classification and structure similarity
MENG Fan,YE Zheng-lin,PAN Lu-lu.Fast fractal coding based on detail information classification and structure similarity[J].journal of Computer Applications,2005,25(12):2849-2852.
Authors:MENG Fan  YE Zheng-lin  PAN Lu-lu
Affiliation:School of Science,Northwestern Polytechnical University,Xi’an Shaanxi 710072,China
Abstract:The conventional fractal coding scheme suffers from long encoding time.A new fractal coding method was proposed based on detail information classification(DIC) and structure similarity(SSIM) index.DIC was implemented based on distribution of detail information which was discrepancy between pixel and its adjacent pixels.SSIM index measured the similarity between range block and domain block from luminance,contrast and structure.The combination of DIC and SSIM index can accelerate the classification and reduce time of matching computation.Experiment results on test images show that the presented method can decrease the coding time whilst maintain decoding quality.
Keywords:fractal coding  detail information classification  structure similarity index
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