Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic Domain
Low-light image enhancement is a challenging task that aims to improve the visibility and quality of images captured in dark environments. However, existing methods often introduce undesirable artifacts such as color distortion, halo effects, blocking artifacts, and noise amplification. In this pape...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10365161/ |
| _version_ | 1797376363062099968 |
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| author | Thaweesak Trongtirakul Sos S. Agaian Shiqian Wu |
| author_facet | Thaweesak Trongtirakul Sos S. Agaian Shiqian Wu |
| author_sort | Thaweesak Trongtirakul |
| collection | DOAJ |
| description | Low-light image enhancement is a challenging task that aims to improve the visibility and quality of images captured in dark environments. However, existing methods often introduce undesirable artifacts such as color distortion, halo effects, blocking artifacts, and noise amplification. In this paper, we propose a novel method that overcomes these limitations by using the logarithmic domain fractional stretching approach to estimate the reflectance component of the image based on the improved Retinex theory. Moreover, we apply a simple adaptive gamma correction algorithm to the Lab color-space to adjust the brightness and saturation of the image. Our method effectively reduces the impact of non-uniform illumination and produces enhanced images with natural and realistic colors. Extensive experiments across diverse public datasets substantiate the superiority of our method. In both subjective and objective evaluations, our approach outperforms state-of-the-art methods. |
| first_indexed | 2024-03-08T19:37:28Z |
| format | Article |
| id | doaj.art-8ef0988b95c147a2bc3aee076f7a0433 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T19:37:28Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8ef0988b95c147a2bc3aee076f7a04332023-12-26T00:07:13ZengIEEEIEEE Access2169-35362023-01-011114393614394710.1109/ACCESS.2023.334453410365161Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic DomainThaweesak Trongtirakul0https://orcid.org/0000-0002-7982-5202Sos S. Agaian1https://orcid.org/0000-0003-4601-4507Shiqian Wu2https://orcid.org/0000-0002-6383-7663Faculty of Industrial Education, Rajamangala University of Technology Phra Nakhon (RMUTP), Bangkok, ThailandGraduate Center, The City University of New York (CUNY), New York, NY, USASchool of Information Science and Engineering, Wuhan University of Science and Technology (WUST), Wuhan, ChinaLow-light image enhancement is a challenging task that aims to improve the visibility and quality of images captured in dark environments. However, existing methods often introduce undesirable artifacts such as color distortion, halo effects, blocking artifacts, and noise amplification. In this paper, we propose a novel method that overcomes these limitations by using the logarithmic domain fractional stretching approach to estimate the reflectance component of the image based on the improved Retinex theory. Moreover, we apply a simple adaptive gamma correction algorithm to the Lab color-space to adjust the brightness and saturation of the image. Our method effectively reduces the impact of non-uniform illumination and produces enhanced images with natural and realistic colors. Extensive experiments across diverse public datasets substantiate the superiority of our method. In both subjective and objective evaluations, our approach outperforms state-of-the-art methods.https://ieeexplore.ieee.org/document/10365161/Retineximage enhancementlogarithmic transformationlow-light imagefractional stretching functionsnon-uniform illumination |
| spellingShingle | Thaweesak Trongtirakul Sos S. Agaian Shiqian Wu Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic Domain IEEE Access Retinex image enhancement logarithmic transformation low-light image fractional stretching functions non-uniform illumination |
| title | Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic Domain |
| title_full | Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic Domain |
| title_fullStr | Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic Domain |
| title_full_unstemmed | Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic Domain |
| title_short | Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic Domain |
| title_sort | adaptive single low light image enhancement by fractional stretching in logarithmic domain |
| topic | Retinex image enhancement logarithmic transformation low-light image fractional stretching functions non-uniform illumination |
| url | https://ieeexplore.ieee.org/document/10365161/ |
| work_keys_str_mv | AT thaweesaktrongtirakul adaptivesinglelowlightimageenhancementbyfractionalstretchinginlogarithmicdomain AT sossagaian adaptivesinglelowlightimageenhancementbyfractionalstretchinginlogarithmicdomain AT shiqianwu adaptivesinglelowlightimageenhancementbyfractionalstretchinginlogarithmicdomain |