Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion
Underwater images typically suffer from various quality degradation issues due to the scattering and absorption of light, but these degraded-quality underwater images are unbeneficial for analysis and applications. To effectively solve these quality degradation issues, an underwater image enhancemen...
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| Published in | IEEE transactions on circuits and systems for video technology Vol. 34; no. 4; pp. 2469 - 2483 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.04.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Underwater images typically suffer from various quality degradation issues due to the scattering and absorption of light, but these degraded-quality underwater images are unbeneficial for analysis and applications. To effectively solve these quality degradation issues, an underwater image enhancement method via weighted wavelet visual perception fusion is introduced, called WWPF. Concretely, we first present an attenuation-map-guided color correction strategy to correct the color distortion of an underwater image. Subsequently, we employ the maximum information entropy optimized global contrast strategy to the color-corrected image to obtain a global contrast-enhanced image. Meanwhile, we apply a fast integration optimized local contrast strategy to the color-corrected image to get a local contrast-enhanced image. To exploit the complementary of the global contrast-enhanced image and the local contrast-enhanced image, we introduce a weighted wavelet visual perception fusion strategy to obtain a high-quality underwater image by fusing the high-frequency and low-frequency components of images at different scales. Our extensive experiments on three benchmarks validate that our WWPF outperforms the state-of-the-art methods in qualitative and quantitative. Besides, the underwater images processed by our WWPF also benefit practical underwater applications. The code is available https://github.com/Li-Chongyi/WWPF_code . |
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| AbstractList | Underwater images typically suffer from various quality degradation issues due to the scattering and absorption of light, but these degraded-quality underwater images are unbeneficial for analysis and applications. To effectively solve these quality degradation issues, an underwater image enhancement method via weighted wavelet visual perception fusion is introduced, called WWPF. Concretely, we first present an attenuation-map-guided color correction strategy to correct the color distortion of an underwater image. Subsequently, we employ the maximum information entropy optimized global contrast strategy to the color-corrected image to obtain a global contrast-enhanced image. Meanwhile, we apply a fast integration optimized local contrast strategy to the color-corrected image to get a local contrast-enhanced image. To exploit the complementary of the global contrast-enhanced image and the local contrast-enhanced image, we introduce a weighted wavelet visual perception fusion strategy to obtain a high-quality underwater image by fusing the high-frequency and low-frequency components of images at different scales. Our extensive experiments on three benchmarks validate that our WWPF outperforms the state-of-the-art methods in qualitative and quantitative. Besides, the underwater images processed by our WWPF also benefit practical underwater applications. The code is available https://github.com/Li-Chongyi/WWPF_code . |
| Author | Zhang, Weidong Zhao, Wenyi Li, Chongyi Pan, Xipeng Zhou, Ling Li, Guohou Zhuang, Peixian |
| Author_xml | – sequence: 1 givenname: Weidong orcidid: 0000-0003-2495-4469 surname: Zhang fullname: Zhang, Weidong email: zwd_wd@163.com organization: School of Information Engineering, and the Institute of Computer Applications, Henan Institute of Science and Technology, Xinxiang, China – sequence: 2 givenname: Ling surname: Zhou fullname: Zhou, Ling email: zhouling20211116@163.com organization: School of Information Engineering, and the Institute of Computer Applications, Henan Institute of Science and Technology, Xinxiang, China – sequence: 3 givenname: Peixian orcidid: 0000-0002-7143-9569 surname: Zhuang fullname: Zhuang, Peixian email: zhuangpeixian0624@163.com organization: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China – sequence: 4 givenname: Guohou surname: Li fullname: Li, Guohou email: liguohou6@163.com organization: School of Information Engineering, and the Institute of Computer Applications, Henan Institute of Science and Technology, Xinxiang, China – sequence: 5 givenname: Xipeng orcidid: 0000-0003-2581-0520 surname: Pan fullname: Pan, Xipeng email: pxp201@guet.edu.cn organization: School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China – sequence: 6 givenname: Wenyi orcidid: 0000-0002-8339-5081 surname: Zhao fullname: Zhao, Wenyi email: 2013211876@bupt.edu.cn organization: School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China – sequence: 7 givenname: Chongyi orcidid: 0000-0003-2609-2460 surname: Li fullname: Li, Chongyi email: lichongyi@nankai.edu.cn organization: School of Computer Science, Nankai University, Tianjin, China |
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| SubjectTerms | Attenuation Color color correction contrast enhancement Degradation Distortion Electromagnetic absorption Entropy (Information theory) Image color analysis Image contrast Image enhancement Image quality Image restoration light scattering Photodegradation Underwater Underwater image enhancement underwater imaging Visual perception |
| Title | Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion |
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