Structural Information Reconstruction of Distorted Underwater Images Using Image Registration
Imaging through wavy air-water surface suffers from uneven geometric distortions and motion blur due to surface fluctuations. Structural information of distorted underwater images is needed to correct this in some cases, such as submarine cable inspecting. This paper presents a new structural inform...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/16/5670 |
| _version_ | 1827709517405618176 |
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| author | Tao Sun Yugui Tang Zhen Zhang |
| author_facet | Tao Sun Yugui Tang Zhen Zhang |
| author_sort | Tao Sun |
| collection | DOAJ |
| description | Imaging through wavy air-water surface suffers from uneven geometric distortions and motion blur due to surface fluctuations. Structural information of distorted underwater images is needed to correct this in some cases, such as submarine cable inspecting. This paper presents a new structural information restoration method for underwater image sequences using an image registration algorithm. At first, to give higher priority to structural edge information, a reference frame is reconstructed from the sequence frames by a combination of lucky patches chosen and the guided filter. Then an iterative robust registration algorithm is applied to remove the severe distortions by registering frames against the reference frame, and the registration is guided towards the sharper boundary to ensure the integrity of edges. The experiment results show that the method exhibits improvement in sharpness and contrast, especially in some structural information such as text. Furthermore, the proposed edge-first registration strategy has faster iteration velocity and convergence speed compared with other registration strategies. |
| first_indexed | 2024-03-10T17:23:06Z |
| format | Article |
| id | doaj.art-19208e23025e492c80b2ee349999dfd6 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T17:23:06Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-19208e23025e492c80b2ee349999dfd62023-11-20T10:15:01ZengMDPI AGApplied Sciences2076-34172020-08-011016567010.3390/app10165670Structural Information Reconstruction of Distorted Underwater Images Using Image RegistrationTao Sun0Yugui Tang1Zhen Zhang2School of Mechatronic Engineering and Automation, Shanghai University, Nanchen Road 333, Shanghai 200444, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Nanchen Road 333, Shanghai 200444, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Nanchen Road 333, Shanghai 200444, ChinaImaging through wavy air-water surface suffers from uneven geometric distortions and motion blur due to surface fluctuations. Structural information of distorted underwater images is needed to correct this in some cases, such as submarine cable inspecting. This paper presents a new structural information restoration method for underwater image sequences using an image registration algorithm. At first, to give higher priority to structural edge information, a reference frame is reconstructed from the sequence frames by a combination of lucky patches chosen and the guided filter. Then an iterative robust registration algorithm is applied to remove the severe distortions by registering frames against the reference frame, and the registration is guided towards the sharper boundary to ensure the integrity of edges. The experiment results show that the method exhibits improvement in sharpness and contrast, especially in some structural information such as text. Furthermore, the proposed edge-first registration strategy has faster iteration velocity and convergence speed compared with other registration strategies.https://www.mdpi.com/2076-3417/10/16/5670image restorationguided filterunderwater imagesimage registration |
| spellingShingle | Tao Sun Yugui Tang Zhen Zhang Structural Information Reconstruction of Distorted Underwater Images Using Image Registration Applied Sciences image restoration guided filter underwater images image registration |
| title | Structural Information Reconstruction of Distorted Underwater Images Using Image Registration |
| title_full | Structural Information Reconstruction of Distorted Underwater Images Using Image Registration |
| title_fullStr | Structural Information Reconstruction of Distorted Underwater Images Using Image Registration |
| title_full_unstemmed | Structural Information Reconstruction of Distorted Underwater Images Using Image Registration |
| title_short | Structural Information Reconstruction of Distorted Underwater Images Using Image Registration |
| title_sort | structural information reconstruction of distorted underwater images using image registration |
| topic | image restoration guided filter underwater images image registration |
| url | https://www.mdpi.com/2076-3417/10/16/5670 |
| work_keys_str_mv | AT taosun structuralinformationreconstructionofdistortedunderwaterimagesusingimageregistration AT yuguitang structuralinformationreconstructionofdistortedunderwaterimagesusingimageregistration AT zhenzhang structuralinformationreconstructionofdistortedunderwaterimagesusingimageregistration |