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李晓宇,吕进来,郝晓丽. 一种改进的Retinex矿井图像增强算法[J]. 科学技术与工程, 2020, 20(29): 12028-12034.
LI Xiao-yu,HAO Xiao-li.An Improved Enhancement Algorithm of Mine Image based on Retinex[J].Science Technology and Engineering,2020,20(29):12028-12034.
一种改进的Retinex矿井图像增强算法
An Improved Enhancement Algorithm of Mine Image based on Retinex
投稿时间:2019-11-11  修订日期:2020-06-25
DOI:
中文关键词:  矿井图像 Retinex HSV 自适应引导滤波 照度均衡
英文关键词:mine image Retinex HSV adaptive guided filter illuminance equalization
基金项目:国家重点研发计划
        
作者单位
李晓宇 [1]太原理工大学 信息与计算机学院
吕进来 [1]太原理工大学 信息与计算机学院
郝晓丽 [1]太原理工大学 信息与计算机学院
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中文摘要:
      为了改善矿井图像的成像质量,提升观测效果,针对传统Retinex算法处理矿井图像时存在的色彩失真、光晕模糊和过增强等问题,提出了一种改进的Retinex矿井图像增强算法:首先将待处理图像从RGB空间转为HSV空间;基于Retinex理论,对V分量采用改进的自适应快速引导滤波进行照度估计,进而获得反射分量;提出了一种“S型”函数对照度分量进行照度均衡;对反射分量进行非线性拉伸,实现细节增强;最后将处理后的照度分量和反射分量融合,并转回RGB空间得到最终的增强图像。将本文算法应用于矿井下非均匀照度环境,并选择具有代表性的三个算法进行对比,实验结果表明本文算法增强结果在主观和客观评价方面优于其他算法。可见该算法在色彩、细节和边缘保持方面均较优,且能够避免过增强现象,实现矿井图像的有效增强。
英文摘要:
      In order to improve the imaging quality of mine images and improve the observation effect, an improved Retinex mine image enhancement algorithm is proposed for the problems of color distortion, halo blur and over-enhancement when the traditional Retinex algorithm is used to process mine images. Firstly, the image to be processed was changed from RGB space to HSV space. Based on Retinex theory, the improved adaptive fast-guided filtering of V component was used to estimate the illuminance, and then the reflection component was obtained. An "S-type" function contrast component was proposed for illuminance equalization. Non-linear stretched of the reflected component for enhanced detail. Finally, the processed illuminance component and the reflection component were merged, and the RGB space was converted back to obtain the final enhanced image. The algorithm was applied to the non-uniform illumination environment under the mine, and three representative algorithms were selected for comparison. The experimental results show that the proposed algorithm is superior to other algorithms in subjective and objective evaluation. It is concluded that the algorithm is superior in color, detail and edge preservation, and can avoid over-enhancement and achieve effective enhancement of mine image.
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