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Received:September 21, 2017 Revised:October 18, 2017
Received:September 21, 2017 Revised:October 18, 2017
中文摘要: 为了更好的消除图像中部分雾气，解决传统暗原色先验去雾算法的不足，提出了一种改进图像去雾算法.采用自适应取界获取暗原色区域块，对大气光强进行区间估计，改进了透射率修复方法，通过引入一种容错方法，使算法能更好地处理不满足暗原色先验的强光区域.实验结果表明，改进算法能有效去除图像的雾气和强光区域.
Abstract:In order to better eliminate the targeted haze in image, an improved haze removal algorithm aiming to solve the shortage of original dark channel prior is proposed. First, the self-adaptive boundary is used to obtain the dark channel region block, and the interval of the atmospheric light intensity is estimated. Then, the transmittance repair method is improved. By including fault tolerance method, the improved algorithm can conveniently deal with the bright area which the original algorithm did not handle. The experimental results show that the improved algorithm can effectively remove the haze and bright area of the image.
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引用文本：
杨帅,张明.改进的暗原色先验去雾算法.计算机系统应用,2018,27(6):118-123
YANG Shuai,ZHANG Ming.Improved Haze Removal Algorithm Using Dark Channel Prior.COMPUTER SYSTEMS APPLICATIONS,2018,27(6):118-123
杨帅,张明.改进的暗原色先验去雾算法.计算机系统应用,2018,27(6):118-123
YANG Shuai,ZHANG Ming.Improved Haze Removal Algorithm Using Dark Channel Prior.COMPUTER SYSTEMS APPLICATIONS,2018,27(6):118-123
