西安电子科技大学学报（自然科学版）2017，Vol.44Issue(5)：147-152,6.DOI:10.3969/j.issn.1001-2400.2017.05.025
融合超像素的黄金暗通道单幅图像去雾方法
Superpixels-based golden dark channel for single image fog removal
摘要
Abstract
Fog and haze can cause serious image degradation.In the light of the limitations of dark channel theory,the fog concentration is supposed to be constant locally,and the effectiveness of dark channel prior decays exponentially as the depth increases.Based on this,we propose a superpixels-based golden dark channel algorithm for single image fog removal.Small regions are obtained by superpixels in which the fog concentration and the depth remain constant.The golden dark channel is computed in these regions.The resulting transmittance remains constant and is finer and more precise.This method can suppress the"Halo effect"which occurs in depth mutation.Moreover,An iterative strategy is employed to gradually reduce the overall density of fog,making the residual amount of fog satisfy the golden section after each iteration. Further,the golden section is used to simplify the tolerance value and deal with the color cast problems in the sky region where the depth is infinity.Experimental results show that the algorithm can effectively improve the image of visibility,and performs even better when the fog concentration is greater.关键词
图像去雾/大气散射模型/超像素/黄金暗通道/透射率Key words
image defogging/atmospheric scattering model/superpixels/golden dark channel/transmittance分类
信息技术与安全科学引用本文复制引用
汪云飞,刘华伟,赵搏欣..融合超像素的黄金暗通道单幅图像去雾方法[J].西安电子科技大学学报（自然科学版）,2017,44(5):147-152,6.基金项目
国家自然科学基金资助项目(61203268,61379104) （61203268,61379104）
