基于视觉物理模型的去雾算法

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。

The Dehazing Algorithm Based on Visual-Physical Model

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.