天空优化的数字图像暗通道先验去雾算法

曾致远; 周亚同; 池越; 史芳宁

doi:doi:10.3788/lop55.081010

激光与光电子学进展, 2018, 55 (8): 081010, 网络出版: 2018-08-13

天空优化的数字图像暗通道先验去雾算法下载： 1205次

Dark Channel Prior Dehazing Algorithm Based on Sky Optimization of Digital Image

论文大纲

曾致远周亚同池越史芳宁

作者单位

河北工业大学电子信息工程学院, 天津 300401

图像处理图像去雾暗通道先验天空区域引导滤波 image processing image dehazing dark channel prior sky region guidance filtering

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摘要

针对暗通道先验去雾算法受限于天空区域，提出了一种天空优化的暗通道去雾算法。在原有公式的基础上，根据天空大气光中值及天空区域的占比添加天空区域约束因子，使其适用于天空区域的处理。同时，在原含雾图像对透射率做引导滤波的基础上，利用K-均值算法聚类分割图像得到天空区域，将天空区域的平滑结果作为新的引导图像对透射率图进行引导滤波。实验结果表明,所提出的去雾算法相比于经典暗通道先验去雾算法，以及现有的一些暗通道先验改进算法，无论是在天空区域的处理、实际去雾效果，还是在图像整体视感上都有明显改进。

Abstract

A dark channel prior dehazing algorithm based on sky-potimization is provided to deal with the problem that dark channel prior dehazing algorithm is limited to the sky region. On the basis of the original formula, the sky region constraint factor is added according to the proportion of the light median value of the sky atmospheric component and the sky region, and makes it suitable for the processing of the sky region. At the same time, the sky region is obtained by K-means clustering and segmentation image, and the smoothed result of the sky region is used as a new guide image to guide and filter the transmittance diagram based on the original haze image as the guidance filtering for transmissivity. Experimental results show that the proposed dehaze algorithm is significant improvements whether in the sky region and the actual dehaze effect, or in the overall visual perception of the image compared with the classic dark channel prior dahazing algorithm and other dark channel prior improved algorithm.

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曾致远, 周亚同, 池越, 史芳宁. 天空优化的数字图像暗通道先验去雾算法[J]. 激光与光电子学进展, 2018, 55(8): 081010. Zeng Zhiyuan, Zhou Yatong, Chi Yue, Shi Fangning. Dark Channel Prior Dehazing Algorithm Based on Sky Optimization of Digital Image[J]. Laser & Optoelectronics Progress, 2018, 55(8): 081010.

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