中文摘要：

室外场景在雾、霾等天气的影响下能见度降低、成像效果不佳．本文从大气散射成像模型出发，从地物波谱特性的角度拓展暗原色先验理论，进而根据人眼视锥细胞对短中长波长光的刺激比例（LMS）将RGB三通道转换为耦合性更低的透射率三通道，有效地降低了RGB三通道间的互相关性，并在对数图像处理（Logarithmicimageprocessing，LIP）的框架下，提出基于彩色对数图像处理模型的自适应增强算法，对去雾后的图像进行增强．实验结果表明，耦合性更低的透射率三通道可以更准确地复原出图像，同时采用基于彩色对数图像处理模型的增强算法可以明显地提高图像的可视性．

英文摘要：

Images of outdoor scenes are usually degraded because of haze, fog and so on. Considering the atmospheric scattering model and object spectral characteristic, we expand dark channel prior and compute the transmittance channels in the LMS model to reduce corrections between RGB channels, and we also propose an adaptive LIPC algorithm to enhance the haze removal images based on logarithmic image processing （LIP）. Results show that dark channel prior acts better in the transmittance channels than in RGB channels because of its lower correction with each other, and that haze removal images enhanced with LIPC are more credible and acceptable.