Non-uniform illumination image enhancement method based on virtual multi-exposure fusion

被引：0

作者：

Xu W. ^{[1
,2
,3
]}

Liu Z. ^{[1
,2
]}

Wu S. ^{[1
,2
]}

Huang Z. ^{[1
,2
]}

机构：

[1] School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan

[2] Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan

[3] Engineering Research Center for Metallurgical Automation and Detecting Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2020年 / 48卷 / 08期

关键词：

Camera response model; Detail boosting; Image enhancement; Information entropy; Multi-exposure fusion;

D O I：

10.13245/j.hust.200814

中图分类号：

学科分类号：

摘要：

In view of the problems of low contrast and poor visual effect caused by over-exposure and under-exposure regions in non-uniform illumination images, an image enhancement method based on virtual multi-exposure fusion was proposed. Firstly, the original image was converted from RGB (red-green-blue) color space to HSV (hue-saturation-value) color space. Secondly, the optimal exposure rates were determined and an exposure-weakened image and an exposure-enhanced image were generated from the obtained V-channel image using camera response model. Then, a multi-exposure fusion method with detail boosting was applied to reconstruct a new V-channel image from the original V-channel image and the two virtual-exposured images. Finally, it was reconverted to RGB color space to obtain an image with high dynamic range, high contrast and good visual effect. Experiments were carried out on seven public image datasets. The results indicate that the proposed method is superior to the compared methods on image quality evaluation criteria such as average information entropy, average gradient and color consistency, and it can make the enhanced image with higher contrast and clarity while preserving the information of color and details better. © 2020, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.

引用

页码：79 / 84and90

页数：8411

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