基于视觉物理模型的去雾算法  

The Dehazing Algorithm Based on Visual-Physical Model

作　　者：马时平[1] 李权合[1] 马红强 毕笃彦[1] MA Shiping;LI Quanhe;MA Hongqiang;BI Duyan(Aeronautics and Astronautics Engineering College,Air Force Engineering University,Xi’an Shaanxi 710038,China)

机构地区：[1]空军工程大学航空航天工程学院,陕西西安710038

出　　处：《图学学报》2018年第2期269-277,共9页Journal of Graphics

摘　　要：针对现有图像去雾算法不能有效增强复杂大气环境下退化图像的问题,结合单色大气散射模型、大气传输函数(ATF)以及Retinex提出了一种基于视觉物理模型(VPM)的图像去雾算法。新模型可同时描述非均匀光照退化、雾霾退化以及噪声退化等复杂大气环境下的图像退化。模型求解过程首先使用变分法消除环境光退化,然后引入马尔科夫随机场将场景反射率求解问题转换为了最大后验概率问题,最后利用对比度抑制自适应直方图均衡来校正场景反射率亮度,从而实现图像去雾。实验结果表明VPM能够指复杂大气环境下退化图像的增强,使其物理保真度和视觉愉悦性得到有效改善。Aiming at the problem that the existing image dehaze algorithm can not effectively enhance degraded images in complex atmospheric environment,animage dehaze algorithm based on visual physical model(VPM)is proposed bycombiningmonochrome atmospheric scattering model(MASM),atmospheric transmission function(ATF)and retinex.The model can describethe image degradation under complex atmospheric conditions such as non-uniform light degradation,haze degradation,and noise degradation.Environmental light degradation is first obtained though variational method.And then,markov random field is introduced to convert the problem of scene reflection rate to the maximum posterior probability.Finally,the brightness of scene reflectance is adjustedwith adaptive histogram equalization,and this is the final dehazed image.Experimental results show that VPM can enhance degraded images under complex atmospheric environment and has better physical fidelity and visual pleasure compared.

关 键 词：图像去雾 人类视觉机制 单色大气散射模型 视网膜皮质模型 大气传输函数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]