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一种快速的暗通道去雾算法
引用本文:朱 浩,李庆武,糜靖峰,周 妍.一种快速的暗通道去雾算法[J].微处理机,2014(2):35-39.
作者姓名:朱 浩  李庆武  糜靖峰  周 妍
作者单位:[1]河海大学物联网工程学院,常州213022 [2]常州市传感网与环境感知重点实验室,常州213022
基金项目:国家自然科学基金(60972101);江苏省苏北科技发展计划(BN2012312).
摘    要:为了在保证暗通道先验假设去雾效果的基础上,加快处理速度,提出了一种快速去雾算法。首先,根据暗通道先验假设结合中值滤波得到透射图;再根据函数构造的思想对透射图进行精确化处理;最后,采用直方图非线性拉伸实现处理后图像亮度的调整。通过对大量雾天图像处理效果图与近年来一些去雾算法处理效果图的主观和客观比较表明,该算法在保证去雾质量的前提下,提高了速度,而且去雾后图像色彩鲜艳,细节清晰。

关 键 词:图像去雾  暗通道  快速  函数构造  直方图非线性拉伸

An Algorithm of Fast Image Haze. Removal by Dark Channel Prior
ZHU Hao,LI Qing- wu,MI Jing- feng,ZHOU Yan.An Algorithm of Fast Image Haze. Removal by Dark Channel Prior[J].Microprocessors,2014(2):35-39.
Authors:ZHU Hao  LI Qing- wu  MI Jing- feng  ZHOU Yan
Affiliation:1. College of lnternet of Things Engineering, Hohai University, Changzbou 213022, China 2. Changzhou Key Ixboratory of Sensor Networks and Em,ironmental Sensing, Changzhou 213022, China )
Abstract:In order to improve the speed of the image haze removal algorithm which uses Dark Channel Prior and ensure the quality, a fast algorithm is proposed in this paper. Firstly, the transmission map can be got by combining Dark Channel Prior with Median Fiher. Then according to the idea of function construction, we can get the more accurate transmission map. Finally, histogram nonlinear stretching is used to adjust the luminance of the processing image. Compared with some haze removal algorithms in recent years, the experimental subjective and objective results ibr a large number of haze images show that the proposed algorithm can ensure the quality of the image haze removal, improve the speed, make image colorful and details clear.
Keywords:Image haze removal  Dark Channel Prior  Fast  Function construction  Histogramnonlinear stretching
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