Adaptive fast image dehazing algorithm

C. Hsieh, Chih-Tsung Chen, Yu-sheng Lin
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引用次数: 2

Abstract

Recently, a single image haze removal scheme based on dark channel prior (DCP) is presented in [1] and is getting popular because of its satisfactory performance for most of cases. However, the DCP scheme has at least three problems: halos, high computational cost and over-exposure. In our previous paper [2], a dehazing algorithm with dual dark channels was presented where high computational cost and over-exposure problems are relieved. In this paper, the objective of proposed dehazing algorithm (PDA) is to relieve the three problems in [1] simultaneously. Four examples are given to verify the PDA where comparison with the DCP scheme is made as well. The simulation results indicate that the PDA is 87.87 times, on average, faster than the DCP in the given examples. Besides, in general better color situation is found for the PDA with similar visual quality and without the three problems in the DCP scheme.
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自适应快速图像去雾算法
近年来,文献[1]提出了一种基于暗通道先验(dark channel prior, DCP)的单幅图像去雾方案,该方案在大多数情况下都能取得令人满意的效果,受到越来越多的关注。然而,DCP方案至少存在三个问题:光晕、高计算成本和过度曝光。我们在之前的论文[2]中提出了一种双暗通道去雾算法,解决了计算成本高和过度曝光的问题。本文提出的去雾算法(PDA)的目标是同时解决[1]中的三个问题。给出了四个实例,并与DCP方案进行了比较。仿真结果表明,在给定的算例中,PDA比DCP平均快87.87倍。此外,一般来说,在视觉质量相近的PDA中,不存在DCP方案中的三个问题,其色彩状况更好。
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