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一种改进的雾天监控图像增强算法

An Improved Enhancement Algorithm of Fog Surveillance Image

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摘要

视频监控或激光成像在大气环境监测中有着广泛应用,然而在雾天条件下获取的图像不可避免地存在视觉质量降低的问题。 针对雾天图像对比度增强以及噪声抑制的需要,提出了一种改进的雾天图像增强算法。首先对原图像进行正反双向的双直 方图均衡处理与融合,然后重复采用上述方法对融合图像的小波分解低频系数矩阵进行增强处理,最后将处理结果和高频系数矩 阵进行小波重构得到输出图像。实验结果表明,该算法处理雾天监控图像能够取得较好的对比度增强与噪声抑制效果。

Abstract

Video surveillance or laser imaging is widely used in atmospheric environment monitoring, but the image quality is inevitably reduced in fog weather. In order to meet the need of contrast enhancement and noise suppression in foggy image, an improved image enhancement algorithm for foggy image is proposed. Firstly, the original image is enhanced by bidirectional histogram equalization processing and fusion. Then the same method is used to deal with the low-frequency coefficient matrix which obtained by wavelet decomposition of the last fused image. Finally the output image can be obtained by wavelet reconstruction of the processing result and the high frequency coefficient matrix. Experimental results show that the proposed algorithm can achieve better contrast enhancement and noise suppression performance in fog surveillance images.

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中图分类号:TP391.41

DOI:10.3969/j.issn.1673-6141.2018.04.009

所属栏目:光电技术

基金项目:Supported by National Natural Science Foundation of China, (国家自然科学基金, 11604002, 51607004)

收稿日期:2017-08-22

修改稿日期:2017-09-07

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作者单位    点击查看

王振东:安庆师范大学物理与电气工程学院, 安徽 安庆 246133
江巨浪:安庆师范大学物理与电气工程学院, 安徽 安庆 246133
马宏亮:安庆师范大学物理与电气工程学院, 安徽 安庆 246133
程刚:安徽理工大学机械工程学院, 安徽 淮南 232001

联系人作者:江巨浪(jiangjulang1@126.com)

备注:王振东 (1992-),男,安徽枞阳人,硕士,主要从事图形图像处理方面的研究。

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引用该论文

WANG Zhendong,JIANG Julang,MA Hongliang,CHENG Gang. An Improved Enhancement Algorithm of Fog Surveillance Image[J]. Journal of Atmospheric and Environmental Optics, 2018, 13(4): 309-314

王振东,江巨浪,马宏亮,程刚. 一种改进的雾天监控图像增强算法[J]. 大气与环境光学学报, 2018, 13(4): 309-314

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