%0 Journal Article
%T Noise image compressed coding based on edge detection<br>基于边缘检测的噪声图像压缩编码方法
%A TIAN Ying-hua
%A YANG Jing-song
%A TAO Yue
%A <br>田迎华
%A 杨敬松
%A 陶跃
%J 计算机应用
%D 2008
%I 
%X Edge blurring phenomenon, which occurs in the wavelet-based image compression algorithms under noised image or low bit rates, remains an open question for many years. Therefore, this paper presented a method of noise image compression and coding based on edge detection. Firstly, the image was wavelet edge detected, the detected wavelet coefficients were protected, and then the noise was removed by soft-threshold method, and at last we compressed and coded it by using Set Partitioning in Hierarchical Trees (SPIHT) method. The experimental result shows that this method not only achieve high compression ratio, remove noise well but also solve edge blurring problem better.
%K image processing
%K edge detection
%K wavelet threshold denoising
%K compression and coding
%K recognition and compression<br>图像处理
%K 边缘检测
%K 小波阈值去噪
%K 压缩编码
%K 识别与压缩
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=524C9BD27688DE1F8F0383144F4F435F&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=FE285F37AA3F3B9D&eid=A05AF66BE0C3DF48&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=16