γ Radiation Image Enhancement Method Based on Non-Linear Mapping
For the problems of darkness, insufficient contrast, and color cast in the images captured by CMOS image sensors in the <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation environment, this paper proposed a joint contrast imp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9903416/ |
| _version_ | 1811342681608028160 |
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| author | Hao Deng Hao Zhao Hua Zhang Guihua Liu |
| author_facet | Hao Deng Hao Zhao Hua Zhang Guihua Liu |
| author_sort | Hao Deng |
| collection | DOAJ |
| description | For the problems of darkness, insufficient contrast, and color cast in the images captured by CMOS image sensors in the <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation environment, this paper proposed a joint contrast improvement and color cast correction approach for the <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation image enhancement, which improved the image effects from enhancing detail expression and color expression. For the problem of overall darkness of <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation image, we first utilized logarithmic mapping to improve the image brightness. Secondly, for the insufficient contrast of image details, a contrast enhancement method with an adaptive Gamma coefficient is proposed, which adaptively adjusts the image brightness at the pixel level, so that the image detail expression is more in line with the human visual characteristics (HVC). Lastly, the color level remapping method is exploited for color cast correction. Extensive experiments are conducted on the <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation images collected in the Co60 environment. With the help of the proposed method, we can achieve the best results in quantitative and visual comparison. Experimental results demonstrate that the proposed method enjoys state-of-the-art performance in <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation image enhancement. |
| first_indexed | 2024-04-13T19:15:09Z |
| format | Article |
| id | doaj.art-dede3a560e7b4d69a5d4a8d460b8be3b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T19:15:09Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-dede3a560e7b4d69a5d4a8d460b8be3b2022-12-22T02:33:42ZengIEEEIEEE Access2169-35362022-01-011010699910700910.1109/ACCESS.2022.32098079903416γ Radiation Image Enhancement Method Based on Non-Linear MappingHao Deng0https://orcid.org/0000-0003-3173-9062Hao Zhao1Hua Zhang2https://orcid.org/0000-0001-5201-2810Guihua Liu3School of Information Engineering, Southwest University of Science and Technology, Mianyang, ChinaSpecial Environment Robot Technology Key Laboratory of Sichuan Province, Mianyang, ChinaSchool of Information Engineering, Southwest University of Science and Technology, Mianyang, ChinaSchool of Information Engineering, Southwest University of Science and Technology, Mianyang, ChinaFor the problems of darkness, insufficient contrast, and color cast in the images captured by CMOS image sensors in the <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation environment, this paper proposed a joint contrast improvement and color cast correction approach for the <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation image enhancement, which improved the image effects from enhancing detail expression and color expression. For the problem of overall darkness of <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation image, we first utilized logarithmic mapping to improve the image brightness. Secondly, for the insufficient contrast of image details, a contrast enhancement method with an adaptive Gamma coefficient is proposed, which adaptively adjusts the image brightness at the pixel level, so that the image detail expression is more in line with the human visual characteristics (HVC). Lastly, the color level remapping method is exploited for color cast correction. Extensive experiments are conducted on the <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation images collected in the Co60 environment. With the help of the proposed method, we can achieve the best results in quantitative and visual comparison. Experimental results demonstrate that the proposed method enjoys state-of-the-art performance in <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> radiation image enhancement.https://ieeexplore.ieee.org/document/9903416/γ radiation imageimage enhancementnon-linear mappingcontrast improvementcolor cast correction |
| spellingShingle | Hao Deng Hao Zhao Hua Zhang Guihua Liu γ Radiation Image Enhancement Method Based on Non-Linear Mapping IEEE Access γ radiation image image enhancement non-linear mapping contrast improvement color cast correction |
| title | γ Radiation Image Enhancement Method Based on Non-Linear Mapping |
| title_full | γ Radiation Image Enhancement Method Based on Non-Linear Mapping |
| title_fullStr | γ Radiation Image Enhancement Method Based on Non-Linear Mapping |
| title_full_unstemmed | γ Radiation Image Enhancement Method Based on Non-Linear Mapping |
| title_short | γ Radiation Image Enhancement Method Based on Non-Linear Mapping |
| title_sort | x03b3 radiation image enhancement method based on non linear mapping |
| topic | γ radiation image image enhancement non-linear mapping contrast improvement color cast correction |
| url | https://ieeexplore.ieee.org/document/9903416/ |
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