%0 Journal Article
%T Perceptual Contrast-Based Image Fusion: A Variational Approach<br>基于主观对比度的变分图像融合方法
%A WANG Chao
%A YE Zhong-Fu
%A <br>王超
%A 叶中付
%J 自动化学报
%D 2007
%I 
%X Local contrast, or variation, plays an important role in image fusion which is mainly to preserve the important information from the source images to the fusion result. Weber's law tells us that the same variation under different backgrounds will cause different perceptual feelings, thus an ideal image processor has to take into account the effects of vision psychology and psychophysics. This paper considers the property of human visual system (HVS) and transfers the quantitative perceptual variations from each source image to the result. Using just-noticeable-difference (JND) as measurement, the multiband image's perceptual contrast is obtained as a target. We construct a functional extremum problem to find a single band image, or fusion result, which has the closest perceptual contrast to the target one. Via the variational approach, the Euler-Lagrange equation is derived, and a gradient descent iteration is employed. Experimental results show that this method is perceptually good.
%K Image fusion
%K variational approach
%K perceptual contrast
%K Weber's law
%K human visual system (HVS)
%K partial differential equations (PDEs)<br>表象聚变
%K 变化方法
%K 知觉衬比度
%K HVS
%K PDES
%K 人工智能
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=8330D9A79086E60E&yid=A732AF04DDA03BB3&vid=27746BCEEE58E9DC&iid=0B39A22176CE99FB&sid=7C72DBC13F2D71EC&eid=205BE674D84A456D&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=21