Underwater Image Restoration via Adaptive Color Correction and Contrast Enhancement Fusion
When light traverses through water, it undergoes influence from the absorption and scattering of particles, resulting in diminished contrast and color distortion within underwater imaging. These effects further constrain the observation of underwater environments and the extraction of features from...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/19/4699 |
| _version_ | 1827722276046372864 |
|---|---|
| author | Weihong Zhang Xiaobo Li Shuping Xu Xujin Li Yiguang Yang Degang Xu Tiegen Liu Haofeng Hu |
| author_facet | Weihong Zhang Xiaobo Li Shuping Xu Xujin Li Yiguang Yang Degang Xu Tiegen Liu Haofeng Hu |
| author_sort | Weihong Zhang |
| collection | DOAJ |
| description | When light traverses through water, it undergoes influence from the absorption and scattering of particles, resulting in diminished contrast and color distortion within underwater imaging. These effects further constrain the observation of underwater environments and the extraction of features from submerged objects. To address these challenges, we introduce an underwater color image processing approach, which amalgamates the frequency and spatial domains, enhancing image contrast in the frequency domain, adaptively refining image color within the spatial domain, and ultimately merging the contrast-enhanced image with the color-corrected counterpart within the CIE <i>L*a</i>*<i>b*</i> color space. Experiments conducted on standard underwater image benchmark datasets highlight the significant improvements our proposed method achieves in terms of enhancing contrast and rendering more natural colors compared to several state-of-the-art methods. The results are further evaluated using four commonly used image metrics, consistently showing that our method yields the highest average value. The proposed method effectively addresses challenges related to low contrast, color distortion, and obscured details in underwater images, a fact especially evident in various scenarios involving color-affected underwater imagery. |
| first_indexed | 2024-03-10T21:36:52Z |
| format | Article |
| id | doaj.art-6e29a01b9859416c94b54b355f40f169 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T21:36:52Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-6e29a01b9859416c94b54b355f40f1692023-11-19T14:58:43ZengMDPI AGRemote Sensing2072-42922023-09-011519469910.3390/rs15194699Underwater Image Restoration via Adaptive Color Correction and Contrast Enhancement FusionWeihong Zhang0Xiaobo Li1Shuping Xu2Xujin Li3Yiguang Yang4Degang Xu5Tiegen Liu6Haofeng Hu7School of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaSchool of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaSchool of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, ChinaJoint Laboratory for Ocean Observation and Detection, Qingdao Marine Science and Technology Center, Qingdao 266237, ChinaJoint Laboratory for Ocean Observation and Detection, Qingdao Marine Science and Technology Center, Qingdao 266237, ChinaSchool of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaSchool of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaWhen light traverses through water, it undergoes influence from the absorption and scattering of particles, resulting in diminished contrast and color distortion within underwater imaging. These effects further constrain the observation of underwater environments and the extraction of features from submerged objects. To address these challenges, we introduce an underwater color image processing approach, which amalgamates the frequency and spatial domains, enhancing image contrast in the frequency domain, adaptively refining image color within the spatial domain, and ultimately merging the contrast-enhanced image with the color-corrected counterpart within the CIE <i>L*a</i>*<i>b*</i> color space. Experiments conducted on standard underwater image benchmark datasets highlight the significant improvements our proposed method achieves in terms of enhancing contrast and rendering more natural colors compared to several state-of-the-art methods. The results are further evaluated using four commonly used image metrics, consistently showing that our method yields the highest average value. The proposed method effectively addresses challenges related to low contrast, color distortion, and obscured details in underwater images, a fact especially evident in various scenarios involving color-affected underwater imagery.https://www.mdpi.com/2072-4292/15/19/4699image enhancementcontrast improvementcolor correctionimage fusion |
| spellingShingle | Weihong Zhang Xiaobo Li Shuping Xu Xujin Li Yiguang Yang Degang Xu Tiegen Liu Haofeng Hu Underwater Image Restoration via Adaptive Color Correction and Contrast Enhancement Fusion Remote Sensing image enhancement contrast improvement color correction image fusion |
| title | Underwater Image Restoration via Adaptive Color Correction and Contrast Enhancement Fusion |
| title_full | Underwater Image Restoration via Adaptive Color Correction and Contrast Enhancement Fusion |
| title_fullStr | Underwater Image Restoration via Adaptive Color Correction and Contrast Enhancement Fusion |
| title_full_unstemmed | Underwater Image Restoration via Adaptive Color Correction and Contrast Enhancement Fusion |
| title_short | Underwater Image Restoration via Adaptive Color Correction and Contrast Enhancement Fusion |
| title_sort | underwater image restoration via adaptive color correction and contrast enhancement fusion |
| topic | image enhancement contrast improvement color correction image fusion |
| url | https://www.mdpi.com/2072-4292/15/19/4699 |
| work_keys_str_mv | AT weihongzhang underwaterimagerestorationviaadaptivecolorcorrectionandcontrastenhancementfusion AT xiaoboli underwaterimagerestorationviaadaptivecolorcorrectionandcontrastenhancementfusion AT shupingxu underwaterimagerestorationviaadaptivecolorcorrectionandcontrastenhancementfusion AT xujinli underwaterimagerestorationviaadaptivecolorcorrectionandcontrastenhancementfusion AT yiguangyang underwaterimagerestorationviaadaptivecolorcorrectionandcontrastenhancementfusion AT degangxu underwaterimagerestorationviaadaptivecolorcorrectionandcontrastenhancementfusion AT tiegenliu underwaterimagerestorationviaadaptivecolorcorrectionandcontrastenhancementfusion AT haofenghu underwaterimagerestorationviaadaptivecolorcorrectionandcontrastenhancementfusion |