Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm Optimization
In order to solve the problems of poor image quality, loss of detail information and excessive brightness enhancement during image enhancement in low light environment, we propose a low-light image enhancement algorithm based on improved multi-scale Retinex and Artificial Bee Colony (ABC) algorithm...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2022.865820/full |
| _version_ | 1819023936415858688 |
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| author | Ying Sun Ying Sun Ying Sun Zichen Zhao Zichen Zhao Du Jiang Du Jiang Xiliang Tong Bo Tao Bo Tao Guozhang Jiang Guozhang Jiang Guozhang Jiang Jianyi Kong Jianyi Kong Jianyi Kong Juntong Yun Juntong Yun Ying Liu Ying Liu Xin Liu Xin Liu Guojun Zhao Guojun Zhao Zifan Fang |
| author_facet | Ying Sun Ying Sun Ying Sun Zichen Zhao Zichen Zhao Du Jiang Du Jiang Xiliang Tong Bo Tao Bo Tao Guozhang Jiang Guozhang Jiang Guozhang Jiang Jianyi Kong Jianyi Kong Jianyi Kong Juntong Yun Juntong Yun Ying Liu Ying Liu Xin Liu Xin Liu Guojun Zhao Guojun Zhao Zifan Fang |
| author_sort | Ying Sun |
| collection | DOAJ |
| description | In order to solve the problems of poor image quality, loss of detail information and excessive brightness enhancement during image enhancement in low light environment, we propose a low-light image enhancement algorithm based on improved multi-scale Retinex and Artificial Bee Colony (ABC) algorithm optimization in this paper. First of all, the algorithm makes two copies of the original image, afterwards, the irradiation component of the original image is obtained by used the structure extraction from texture via relative total variation for the first image, and combines it with the multi-scale Retinex algorithm to obtain the reflection component of the original image, which are simultaneously enhanced using histogram equalization, bilateral gamma function correction and bilateral filtering. In the next part, the second image is enhanced by histogram equalization and edge-preserving with Weighted Guided Image Filtering (WGIF). Finally, the weight-optimized image fusion is performed by ABC algorithm. The mean values of Information Entropy (IE), Average Gradient (AG) and Standard Deviation (SD) of the enhanced images are respectively 7.7878, 7.5560 and 67.0154, and the improvement compared to original image is respectively 2.4916, 5.8599 and 52.7553. The results of experiment show that the algorithm proposed in this paper improves the light loss problem in the image enhancement process, enhances the image sharpness, highlights the image details, restores the color of the image, and also reduces image noise with good edge preservation which enables a better visual perception of the image. |
| first_indexed | 2024-12-21T04:46:49Z |
| format | Article |
| id | doaj.art-f76ffe92299d46509a0a25a0a085da9e |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-12-21T04:46:49Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-f76ffe92299d46509a0a25a0a085da9e2022-12-21T19:15:35ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852022-04-011010.3389/fbioe.2022.865820865820Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm OptimizationYing Sun0Ying Sun1Ying Sun2Zichen Zhao3Zichen Zhao4Du Jiang5Du Jiang6Xiliang Tong7Bo Tao8Bo Tao9Guozhang Jiang10Guozhang Jiang11Guozhang Jiang12Jianyi Kong13Jianyi Kong14Jianyi Kong15Juntong Yun16Juntong Yun17Ying Liu18Ying Liu19Xin Liu20Xin Liu21Guojun Zhao22Guojun Zhao23Zifan Fang24Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaResearch Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, ChinaHubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, ChinaKey Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaResearch Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, ChinaKey Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaHubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, ChinaKey Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaKey Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaPrecision Manufacturing Research Institute, Wuhan University of Science and Technology, Wuhan, ChinaKey Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaResearch Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, ChinaHubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, ChinaKey Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaResearch Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, ChinaHubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, ChinaResearch Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, ChinaPrecision Manufacturing Research Institute, Wuhan University of Science and Technology, Wuhan, ChinaResearch Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, ChinaPrecision Manufacturing Research Institute, Wuhan University of Science and Technology, Wuhan, ChinaKey Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaPrecision Manufacturing Research Institute, Wuhan University of Science and Technology, Wuhan, ChinaKey Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaResearch Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, ChinaHubei Key Laboratory of Hydroelectric Machinery Design and Maintenance, China Three Gorges University, Yichang, ChinaIn order to solve the problems of poor image quality, loss of detail information and excessive brightness enhancement during image enhancement in low light environment, we propose a low-light image enhancement algorithm based on improved multi-scale Retinex and Artificial Bee Colony (ABC) algorithm optimization in this paper. First of all, the algorithm makes two copies of the original image, afterwards, the irradiation component of the original image is obtained by used the structure extraction from texture via relative total variation for the first image, and combines it with the multi-scale Retinex algorithm to obtain the reflection component of the original image, which are simultaneously enhanced using histogram equalization, bilateral gamma function correction and bilateral filtering. In the next part, the second image is enhanced by histogram equalization and edge-preserving with Weighted Guided Image Filtering (WGIF). Finally, the weight-optimized image fusion is performed by ABC algorithm. The mean values of Information Entropy (IE), Average Gradient (AG) and Standard Deviation (SD) of the enhanced images are respectively 7.7878, 7.5560 and 67.0154, and the improvement compared to original image is respectively 2.4916, 5.8599 and 52.7553. The results of experiment show that the algorithm proposed in this paper improves the light loss problem in the image enhancement process, enhances the image sharpness, highlights the image details, restores the color of the image, and also reduces image noise with good edge preservation which enables a better visual perception of the image.https://www.frontiersin.org/articles/10.3389/fbioe.2022.865820/fullmulti-scale retinexweighted guided image filteringABC algorithmbilateral gamma functionimage enhancement |
| spellingShingle | Ying Sun Ying Sun Ying Sun Zichen Zhao Zichen Zhao Du Jiang Du Jiang Xiliang Tong Bo Tao Bo Tao Guozhang Jiang Guozhang Jiang Guozhang Jiang Jianyi Kong Jianyi Kong Jianyi Kong Juntong Yun Juntong Yun Ying Liu Ying Liu Xin Liu Xin Liu Guojun Zhao Guojun Zhao Zifan Fang Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm Optimization Frontiers in Bioengineering and Biotechnology multi-scale retinex weighted guided image filtering ABC algorithm bilateral gamma function image enhancement |
| title | Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm Optimization |
| title_full | Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm Optimization |
| title_fullStr | Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm Optimization |
| title_full_unstemmed | Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm Optimization |
| title_short | Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm Optimization |
| title_sort | low illumination image enhancement algorithm based on improved multi scale retinex and abc algorithm optimization |
| topic | multi-scale retinex weighted guided image filtering ABC algorithm bilateral gamma function image enhancement |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2022.865820/full |
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