快速图像去雾新方法  

New method for fast image dehazing

作　　者：马江峰[1] 杨忠斌[2] 毕笃彦[1] 李权合[1] 

机构地区：[1]空军工程大学工程学院,西安710038 [2]中国航空工业第六三一研究所第一研究室,西安710056

出　　处：《计算机应用》2012年第6期1567-1569,1593,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61175029);国防科技重点实验室基金资助项目(9140C610301080C6106)

摘　　要：由于原始Koschmieder模型中的变量都无法获得精确解,其求解是一病态问题,结合大气退化模型提出了一种弱化的Koschmieder模型,并基于该模型提出了一种快速图像去雾新方法。该方法避免求解晴天时所获图像的场景色度、大气传递效率和场景景深,与Dark Channel方法相比,在速度上取得了较大提升,同时能够保持场景的颜色恒常性,而且在提升图像对比度上得到了近似甚至更好的效果。No method could be used to get the exact values of these variables in the original Koschmieder model,whose solution is an ill-posed problem.Thus,this paper proposed a new Koschmieder model whose solution was much easier,while the proposed model had something in common with atmosphere degradation model.Then a novel method for fast image dehazing was proposed based on the proposed model.This method avoids to need scene chroma,atmosphere transmission efficiency and scene depth of the image got in sunshine.Compared with the Dark Channel method,the proposed method has a great improvement in speed,while could keep the scene＇s color constancy and get the same even better result in improving image contrast.

关 键 词：图像去雾 Koschmieder模型 大气退化模型 颜色恒常性 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]