基于单幅图像景深和大气散射模型的去雾方法  

Single image dehazing based on scene depth and physical model

作　　者：郭珈[1] 王孝通[1,2] 胡程鹏[1] 徐晓刚[3] 

机构地区：[1]海军大连舰艇学院光电技术研究所,大连116018 [2]海军大连舰艇学院航海系,大连116018 [3]海军大连舰艇学院自动化系,大连116018

出　　处：《中国图象图形学报》2012年第1期27-32,共6页Journal of Image and Graphics

基　　金：国家自然科学基金项目(60975016);辽宁省自然科学基金项目(20082176);青年科学基金项目(61002052)

摘　　要：为恢复雾天图像对比度和颜色,更好地提取图像中的信息,根据海上开阔海域的特点,利用3维到2维透视投影模型,推导了海上图像任意像素点景深的计算公式,并结合暗原色先验知识,有效解决基准景深点的选取和天空亮度的选取问题,最后基于相对景深模型和大气散射模型,对单幅雾天图像进行清晰化处理。通过大量雾天降质图像的实验验证,该算法的去雾效果优于基于暗原色先验统计方法的效果。It is important to extract the information from images which have poor contrasts and colors acquired in bad weather. This paper proposes an effective method to remove haze from a single input image. First, focusing on sea images with deep and wild view, the formulas of relative depth are given based on a projection model from 3D to 2D. Then, using the dark channel prior, the sky intensity and reference depth can be obtained more accurate. At last, the degrade images can be recovered by relative scene depths model and atmosphere physical model. Our results demonstrate that our approach performs better than the dark channel prior method.

关 键 词：图像去雾 基准景深 暗原色 天空亮度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]