针对图像去雾过程中经常出现的Halo效应，色调偏移等问题，提出一种去雾增强图像质量客观评价方法。采用Canny算子和亮通道检测去雾图像的有效边缘强度，使用直方图相似性度量去雾图像的色彩还原能力；使用反射图像的结构信息评价去雾图像的结构保持能力。最后综合有效边缘强度，色彩还原能力和结构信息3个方面对去雾图像的质量进行客观评测。实验结果表明，这种针对去雾前后图像视觉差异的评价模型，能够有效地对各类去雾算法进行比较与评价，与主观评价结果基本一致。

In this paper we proposes a new method for comparing the quality of defogged images based on the halo artifacts，the color shift，and other issues which often appear during the defogging process.the canny edge detector is used to denote the detail performance of defogged images，is utilized to denote the color performance of defogged images，the is used.We use the structural information of the reflection image to indicate the structural performance of the defogged images.Using all these three factors，the effect of defogging methods can be evaluated objectively.Experimental results show that the proposed method，which is based on the visual differences of images before and after defogging，can compare the effect of different defogging methods and is consistent with the subjective perception.