%0 Journal Article
%T Weakening of smoke for homomorphic filtering<br>提升小波的同态滤波在图像烟雾弱化中的应用
%A Fan Youchen
%A Li Yingchun
%A Han Yi
%A Zhang Laixian
%A <br>范有臣
%A 李迎春
%A 韩意
%A 张来线
%J 中国图象图形学报
%D 2012
%I 
%X To improve images degraded by smoke,a homomorphic filter algorithm based on lift-wavelet transform is used to enhance the contrast of an image. In this paper,we use a homomorphic filter algorithm based on lighting reflection models and develop an applicable filtering model and expression. Secondl,we take lift-wavelet transform into the homomorphic filtering and process the wavelet transform coefficient by using high-pass filtering,aiming to improve the processing speed. Finally,six different objective evaluation parameters are used to evaluate the disposed images. The results reveal that the algorithm is move effective than homomorphic filtering and equal with wavelet homomorphic filtering,which is slower than our proposed algorithm.
%K lift-wavelet transform
%K homomorphic filtering
%K filter in frequency
%K smoke weakening<br>提升小波变换
%K 同态滤波
%K 频域滤波
%K 烟雾弱化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=D5929F158C3162E6754412C51EDBD834&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=94C357A881DFC066&sid=20C9FB8C7B4A22AD&eid=DB7B2C790D19BE6E&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10