基于多子块协同单尺度Retinex的浓雾图像增强

doi:10.13700/j.bh.1001-5965.2018.0528

北京航空航天大学学报 ›› 2019, Vol. 45 ›› Issue (5): 944-951.doi: 10.13700/j.bh.1001-5965.2018.0528

基于多子块协同单尺度Retinex的浓雾图像增强

高原原¹, 胡海苗²

1. 中国电子科技集团公司信息科学研究院, 北京 100086;
2. 北京航空航天大学计算机学院, 北京 100083

收稿日期:2018-09-06 出版日期:2019-05-20 发布日期:2019-05-21
通讯作者: 高原原.E-mail:gyy002005@163.com E-mail:gyy002005@163.com
作者简介:高原原女,博士研究生,工程师。主要研究方向:图像处理;胡海苗男,副教授。主要研究方向:图像处理。
基金资助:
国家自然科学基金（61801448）

Foggy image enhancement based on multi-block coordinated single-scale Retinex

GAO Yuanyuan¹, HU Haimiao²

1. Information Sciences Academe, China Electronic Technology Group Corporation, Beijing 100086, China;
2. School of Computer Science and Engineering, Beihang University, Beijing 100083, China

Received:2018-09-06 Online:2019-05-20 Published:2019-05-21

摘要/Abstract

摘要： 针对现有算法增强雾气分布不均匀的浓雾图像效果不理想的问题，提出了一种基于多子块协同单尺度Retinex的浓雾图像增强算法。该算法不同于传统的利用全局统计量获取动态截断值的Retinex算法，首先将图像划分为多个子块，计算出适合不同浓度雾气的动态截断值；然后，利用动态截断值对高频细节信息进行动态范围调整，得到多幅局部最优的图像；最后，融合多幅局部最优图像生成高质量的结果，从而实现浓雾图像每个区域细节的增强。实验结果表明，所提算法能够有效去除不均匀浓雾，并保证去雾后图像的亮度保持在适合人眼观察的范围。

关键词: 图像去雾, 图像增强, 图像分解, 多子块增强, 浓雾图像

Abstract: Aimed at the problem that the existing algorithms are not ideal to enhance foggy images with non-uniform fog distribution, this paper proposes a foggy image enhancement algorithm based on multi-block coordinated single-scale Retinex. Different from traditional Retinex algorithms that use the global statistic to obtain dynamic truncation values, the proposed algorithm first divides the image into several sub-blocks to calculate dynamic truncation values suitable for different areas with different concentrations of fog. Then,the dynamic range of detail information is adjusted with these dynamic truncation values to obtain multiple locally optimal images. Finally, the final enhancement image is calculated by fusing multiple optimal local images. This strategy enables the enhancement of detail in each area of a foggy image. The experimental results show that the proposed algorithm can effectively remove the non-uniform fog and ensure that the brightness of defogged image is kept within a range suitable for human eyes.

Key words: image defogging, image enhancement, image decomposition, multi-block enhancement, foggy image

中图分类号:

TP391

高原原, 胡海苗. 基于多子块协同单尺度Retinex的浓雾图像增强[J]. 北京航空航天大学学报, 2019, 45(5): 944-951.

GAO Yuanyuan, HU Haimiao. Foggy image enhancement based on multi-block coordinated single-scale Retinex[J]. JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2019, 45(5): 944-951.

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基于多子块协同单尺度Retinex的浓雾图像增强

Foggy image enhancement based on multi-block coordinated single-scale Retinex

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