An Endoscope Image Enhancement Algorithm Based on Image Decomposition
The visual quality of endoscopic images is a significant factor in early lesion inspection and surgical procedures. However, due to the interference of light sources, hardware, and other configurations, the endoscopic images collected clinically have uneven illumination, blurred details, and contras...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/12/1909 |
| _version_ | 1797487956423868416 |
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| author | Wei Tan Chao Xu Fang Lei Qianqian Fang Ziheng An Dou Wang Jubao Han Kai Qian Bo Feng |
| author_facet | Wei Tan Chao Xu Fang Lei Qianqian Fang Ziheng An Dou Wang Jubao Han Kai Qian Bo Feng |
| author_sort | Wei Tan |
| collection | DOAJ |
| description | The visual quality of endoscopic images is a significant factor in early lesion inspection and surgical procedures. However, due to the interference of light sources, hardware, and other configurations, the endoscopic images collected clinically have uneven illumination, blurred details, and contrast. This paper proposed a new endoscopic image enhancement algorithm. The image decomposes into a detail layer and a base layer based on noise suppression. The blood vessel information is stretched by channel in the detail layer, and adaptive brightness correction is performed in the base layer. Finally, Fusion obtained a new endoscopic image. This paper compares the algorithm with six other algorithms in the laboratory dataset. The algorithm is in the leading position in all five objective evaluation metrics, further indicating that the algorithm is ahead of other algorithms in contrast, structural similarity, and peak signal-to-noise ratio. It can effectively highlight the blood vessel information in endoscopic images while avoiding the influence of noise and highlight points. The proposed algorithm can well solve the existing problems of endoscopic images. |
| first_indexed | 2024-03-09T23:55:13Z |
| format | Article |
| id | doaj.art-2570e78039e54cc0a0d872a0f1afb00e |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T23:55:13Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-2570e78039e54cc0a0d872a0f1afb00e2023-11-23T16:25:44ZengMDPI AGElectronics2079-92922022-06-011112190910.3390/electronics11121909An Endoscope Image Enhancement Algorithm Based on Image DecompositionWei Tan0Chao Xu1Fang Lei2Qianqian Fang3Ziheng An4Dou Wang5Jubao Han6Kai Qian7Bo Feng8School of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Humanities, Shanghai University of Finance and Economics, Shanghai 200433, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaThe visual quality of endoscopic images is a significant factor in early lesion inspection and surgical procedures. However, due to the interference of light sources, hardware, and other configurations, the endoscopic images collected clinically have uneven illumination, blurred details, and contrast. This paper proposed a new endoscopic image enhancement algorithm. The image decomposes into a detail layer and a base layer based on noise suppression. The blood vessel information is stretched by channel in the detail layer, and adaptive brightness correction is performed in the base layer. Finally, Fusion obtained a new endoscopic image. This paper compares the algorithm with six other algorithms in the laboratory dataset. The algorithm is in the leading position in all five objective evaluation metrics, further indicating that the algorithm is ahead of other algorithms in contrast, structural similarity, and peak signal-to-noise ratio. It can effectively highlight the blood vessel information in endoscopic images while avoiding the influence of noise and highlight points. The proposed algorithm can well solve the existing problems of endoscopic images.https://www.mdpi.com/2079-9292/11/12/1909endoscopic imagesimage decompositionimage enhancementnoise suppressiongamma correction |
| spellingShingle | Wei Tan Chao Xu Fang Lei Qianqian Fang Ziheng An Dou Wang Jubao Han Kai Qian Bo Feng An Endoscope Image Enhancement Algorithm Based on Image Decomposition Electronics endoscopic images image decomposition image enhancement noise suppression gamma correction |
| title | An Endoscope Image Enhancement Algorithm Based on Image Decomposition |
| title_full | An Endoscope Image Enhancement Algorithm Based on Image Decomposition |
| title_fullStr | An Endoscope Image Enhancement Algorithm Based on Image Decomposition |
| title_full_unstemmed | An Endoscope Image Enhancement Algorithm Based on Image Decomposition |
| title_short | An Endoscope Image Enhancement Algorithm Based on Image Decomposition |
| title_sort | endoscope image enhancement algorithm based on image decomposition |
| topic | endoscopic images image decomposition image enhancement noise suppression gamma correction |
| url | https://www.mdpi.com/2079-9292/11/12/1909 |
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