Image enhancement via texture protection Retinex
Abstract Images obtained in dim light do not clearly represent the target scene, limiting information transmission on the image carrier. This study proposes a texture‐preserving image enhancement method, i.e. ETPR. The proposed method draws the illumination map of a low light image by Max‐RGB, and t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12311 |
| _version_ | 1811266443988172800 |
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| author | Linlu Dong Liangjun Zhao Jun Wang |
| author_facet | Linlu Dong Liangjun Zhao Jun Wang |
| author_sort | Linlu Dong |
| collection | DOAJ |
| description | Abstract Images obtained in dim light do not clearly represent the target scene, limiting information transmission on the image carrier. This study proposes a texture‐preserving image enhancement method, i.e. ETPR. The proposed method draws the illumination map of a low light image by Max‐RGB, and then applies the weighted median filter algorithm and Retinex to improve the illumination map further. Then, the enhanced image is changed from RGB mode to YCbCr mode and the texture of the luminance component Y is described. It is achieved by denoising the texture of the image to be enhanced, and then the final enhanced image is obtained by the method of sub‐region image fusion denoising. The effectiveness of ETPR is established by comparing it with existing enhancement technologies using public data and real images. |
| first_indexed | 2024-04-12T20:43:22Z |
| format | Article |
| id | doaj.art-102ee17903e24039b53845403cf31512 |
| institution | Directory Open Access Journal |
| issn | 1751-9659 1751-9667 |
| language | English |
| last_indexed | 2024-04-12T20:43:22Z |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Image Processing |
| spelling | doaj.art-102ee17903e24039b53845403cf315122022-12-22T03:17:21ZengWileyIET Image Processing1751-96591751-96672022-01-01161617810.1049/ipr2.12311Image enhancement via texture protection RetinexLinlu Dong0Liangjun Zhao1Jun Wang2School of Information Engineering Southwest University of Science and Technology Mianyang ChinaSchool of Computer Science and Engineering Sichuan University of Science and Engineering Zigong ChinaSchool of Information Engineering Southwest University of Science and Technology Mianyang ChinaAbstract Images obtained in dim light do not clearly represent the target scene, limiting information transmission on the image carrier. This study proposes a texture‐preserving image enhancement method, i.e. ETPR. The proposed method draws the illumination map of a low light image by Max‐RGB, and then applies the weighted median filter algorithm and Retinex to improve the illumination map further. Then, the enhanced image is changed from RGB mode to YCbCr mode and the texture of the luminance component Y is described. It is achieved by denoising the texture of the image to be enhanced, and then the final enhanced image is obtained by the method of sub‐region image fusion denoising. The effectiveness of ETPR is established by comparing it with existing enhancement technologies using public data and real images.https://doi.org/10.1049/ipr2.12311 |
| spellingShingle | Linlu Dong Liangjun Zhao Jun Wang Image enhancement via texture protection Retinex IET Image Processing |
| title | Image enhancement via texture protection Retinex |
| title_full | Image enhancement via texture protection Retinex |
| title_fullStr | Image enhancement via texture protection Retinex |
| title_full_unstemmed | Image enhancement via texture protection Retinex |
| title_short | Image enhancement via texture protection Retinex |
| title_sort | image enhancement via texture protection retinex |
| url | https://doi.org/10.1049/ipr2.12311 |
| work_keys_str_mv | AT linludong imageenhancementviatextureprotectionretinex AT liangjunzhao imageenhancementviatextureprotectionretinex AT junwang imageenhancementviatextureprotectionretinex |