%0 Journal Article
%T Multiresolution Based Local Structured Information Entropy for Robust Multimodal Image Fusion<br>基于多分辨率局部结构化信息熵的鲁棒多模图像融合算法
%A Yang Zhi
%A Mao Shi-yi
%A Chen Wei
%A <br>杨志
%A 毛士艺
%A 陈炜
%J 电子与信息学报
%D 2006
%I 
%X The updated image fusion schemes could not identify meaningful image features from noises, the input noise is treated as valid information and transferred into the fused output. After complex wavelet transformation (CWT), structured information is decomposed into varying scales and directions. Based on CWT, two structured information entropies, intra-band structured information entropy and inter-band structured information entropy, are formulated to express the structurization level of image features. Preceding the image fusion process, the metrics are employed to weight all inputs. As a result, the perceptual salient inputs are enhanced while the noise inputs are de-emphasized adaptively. Comparing the visual aesthetics of fusion results and analyzing the performance objectively, show the good performance of the proposed image fusion algorithm.
%K Image fusion
%K Structured information entropy
%K Adaptive weighting
%K Complex Wavelet Transform (CWT)<br>图像融合
%K 结构化信息熵
%K 自适应加权
%K 复数小波变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=7452E71FE247B05D&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=94C357A881DFC066&sid=899CC9158FC43EF4&eid=BF6EDE6C10074464&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=12