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有雾天气图像的清晰化方法
引用本文:暴阳,李昆昆.有雾天气图像的清晰化方法[J].安庆师范学院学报(自然科学版),2015(1):56-58.
作者姓名:暴阳  李昆昆
作者单位:安庆师范学院 数学与计算科学学院,安徽 安庆,246133;安庆师范学院 数学与计算科学学院,安徽 安庆,246133
摘    要:为了改善雾天图像的退化现象,本文提出了一种有雾天气图像的清晰化方法。该方法根据正态分布将图像分为非天空区域与天空区域,然后以全局直方图均衡算法(HE)和子块部分重叠的局部直方图均衡算法(POSHE)为基础对雾天图像进行均衡化处理,均衡后的图像能够保持图像细节,同时也能够避免图像的过增强。实验结果表明:该算法能够有效改善图像的退化现象,提高图像的对比度和分辨率,增强后的图像更加自然。

关 键 词:图像    全局直方图均衡算法  局部直方图均衡算法  增强

An Image Clearness Method for Fog
BAO Yang,LI Kun-kun.An Image Clearness Method for Fog[J].Journal of Anqing Teachers College(Natural Science Edition),2015(1):56-58.
Authors:BAO Yang  LI Kun-kun
Institution:BAO Yang;LI Kun-kun;School of Mathematics and Computation Science,Anqing Teachers College;
Abstract:In order to improve the images of fog weather, a new method for enhancing images taken in fogs is proposed.It divides images into two parts, the sky and not the sky, which is based on the principle of normal distribution, and then enhances the images based on global histogram equalization and the algorithm of partially overlapped sub-block histogram equalization.The enhanced images can keep detailed information and also avert over-enhancement.Experimental results show that the method can improve the resolution of fog images and the clarity of images.
Keywords:image  Fog  the algorithm of global histogram equalization  the algorithm of partially overlapped sub-block histogram equalization  enhancing
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