提高特殊场景下图像质量的图像复原算法

Image Restoration Algorithm for Improving Image Quality Under Special Scene

本文首先分析基于暗原色先验去雾算法的基本步骤,然后提出一种提高特殊场景下图像质量的图像复原算法.该算法先对特殊场景下的图像进行反转操作,然后利用反转操作后的图像与雾天图像具有相似特征的结论,将改进的暗原色先验理论算法用于反转后的图像,从而使特殊图像的质量得到提高.本文通过改进暗原色先验去雾算法参数的获取,同时将图像中天空区域和非天空区域分开处理,得到了很好的视觉效果,也降低了算法的复杂度.

First of all,this paper analyzes the basic steps of dark channel prior algorithm, and then proposes a method to improve image quality under special scene image restoration algorithm. The algorithm works on special scene image through reversion operation firstly, and then lets improved dark channel prior algorithm use for inverting image to make the quality of the special image be improved on using the conclusion that an reversed special scene image has the similar features with a haze image. In this paper, we will optimize the parameters of improved dark channel prior algorithm and deal with the sky in the image area and the non-sky area in separate, which is very good visual effect and also reduces the complexity of the algorithm.