%0 Journal Article
%T Objective Assessment Method for the Clearness Effect of Image Defogging Algorithm<br>图像去雾算法清晰化效果客观评价方法
%A GUO Fan
%A CAI Zi-Xing
%A <br>郭璠
%A 蔡自兴
%J 自动化学报
%D 2012
%I 
%X Since there is lack of methodology to assess the performance of defogging algorithm and the existing assessment methods have some limitations, two new methods for assessing the clearness effect of image defogging algorithm are proposed in this paper. One is using synthetic foggy image simulated by environment rendering or transmission map to assess defogging effect in full-reference way. The other is constructing assessment system from the perspective of human visual perception to assess the algorithm performance comprehensively in no-reference way. Experiments show that both methods can assess the effect effectively, and the evaluation results are consistent with our subjective perception. Compared with other existing methods, our proposed methods can assess the effect from the construction of simulated environment and human visual perception, respectively. The new methods can obtain a comprehensive assessment results as well as provide a good practicability and reliability.
%K Image defogging algorithm
%K clearness effect
%K image assessment
%K simulated fog environment
%K human visual perception<br>图像去雾算法
%K 清晰化效果
%K 图像评价
%K 模拟雾环境
%K 人类视觉感知
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=21CB0722CA48644F7FD6A33DE551E7DA&yid=99E9153A83D4CB11&vid=16D8618C6164A3ED&iid=9CF7A0430CBB2DFD&sid=3FD5B2D1B84CE43E&eid=8EA44A8F6C7F424F&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=17