Learning-Based Dark and Blurred Underwater Image Restoration
Underwater image processing is a difficult subtopic in the field of computer vision due to the complex underwater environment. Since the light is absorbed and scattered, underwater images have many distortions such as underexposure, blurriness, and color cast. The poor quality hinders subsequent pro...
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Format: | Article |
Language: | English |
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Wiley
2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/6549410 |
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author | Yifeng Xu Huigang Wang Garth Douglas Cooper Shaowei Rong Weitao Sun |
author_facet | Yifeng Xu Huigang Wang Garth Douglas Cooper Shaowei Rong Weitao Sun |
author_sort | Yifeng Xu |
collection | DOAJ |
description | Underwater image processing is a difficult subtopic in the field of computer vision due to the complex underwater environment. Since the light is absorbed and scattered, underwater images have many distortions such as underexposure, blurriness, and color cast. The poor quality hinders subsequent processing such as image classification, object detection, or segmentation. In this paper, we propose a method to collect underwater image pairs by placing two tanks in front of the camera. Due to the high-quality training data, the proposed restoration algorithm based on deep learning achieves inspiring results for underwater images taken in a low-light environment. The proposed method solves two of the most challenging problems for underwater image: darkness and fuzziness. The experimental results show that the proposed method surpasses most other methods. |
format | Article |
id | doaj-art-341c9533f091478aa8c94eba30247059 |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | Complexity |
spelling | doaj-art-341c9533f091478aa8c94eba302470592025-02-03T06:05:12ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/65494106549410Learning-Based Dark and Blurred Underwater Image RestorationYifeng Xu0Huigang Wang1Garth Douglas Cooper2Shaowei Rong3Weitao Sun4School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaUnderwater image processing is a difficult subtopic in the field of computer vision due to the complex underwater environment. Since the light is absorbed and scattered, underwater images have many distortions such as underexposure, blurriness, and color cast. The poor quality hinders subsequent processing such as image classification, object detection, or segmentation. In this paper, we propose a method to collect underwater image pairs by placing two tanks in front of the camera. Due to the high-quality training data, the proposed restoration algorithm based on deep learning achieves inspiring results for underwater images taken in a low-light environment. The proposed method solves two of the most challenging problems for underwater image: darkness and fuzziness. The experimental results show that the proposed method surpasses most other methods.http://dx.doi.org/10.1155/2020/6549410 |
spellingShingle | Yifeng Xu Huigang Wang Garth Douglas Cooper Shaowei Rong Weitao Sun Learning-Based Dark and Blurred Underwater Image Restoration Complexity |
title | Learning-Based Dark and Blurred Underwater Image Restoration |
title_full | Learning-Based Dark and Blurred Underwater Image Restoration |
title_fullStr | Learning-Based Dark and Blurred Underwater Image Restoration |
title_full_unstemmed | Learning-Based Dark and Blurred Underwater Image Restoration |
title_short | Learning-Based Dark and Blurred Underwater Image Restoration |
title_sort | learning based dark and blurred underwater image restoration |
url | http://dx.doi.org/10.1155/2020/6549410 |
work_keys_str_mv | AT yifengxu learningbaseddarkandblurredunderwaterimagerestoration AT huigangwang learningbaseddarkandblurredunderwaterimagerestoration AT garthdouglascooper learningbaseddarkandblurredunderwaterimagerestoration AT shaoweirong learningbaseddarkandblurredunderwaterimagerestoration AT weitaosun learningbaseddarkandblurredunderwaterimagerestoration |