%0 Journal Article
%T A Neighboring Search Fratcal lmage Coding Based on Testing Significant Uncorrelation of Blocks<br>一种基于显著不相关检验的近距分形图象编码方法
%A Xiong Huilin
%A Zhang Tianxu
%A <br>熊惠霖
%A 张天序
%J 中国图象图形学报
%D 1998
%I 
%X In this paper, we proposed a very fast fractal image coding method, which is based on neighboring search for the matching of image blocks and testing of significant uncorrelation of blocks. For the standard test image(Lena 256×256×8ppb), comparing with the classification method, we recorded acceleration factors from 70 up to 200 with 2(dB) to 3(dB) deg radation of PSNR and some improvement of the compression ratio; comparing with the ordinary neighboring search method, we recorded a 32% acceleration factor without any degradation of PSNR, and if 0.2(dB) to 1(dB) degradation of PSNR are permitted, acceleration factors from 3 to 9 are recorded.
%K Fractal
%K Fractal image coding
%K Testing of significant uncorrelation<br>分形，分形图象编码，近距搜索匹配，显著不相关检验
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=1D42C5D63066AF655A3374312A203B0B&yid=8CAA3A429E3EA654&vid=38B194292C032A66&iid=B31275AF3241DB2D&sid=FCACFF68346F8D4F&eid=BC88D6B0750E09D1&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=6