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Teng Xue, Tianchi Zhang and Jing Zhang
Underwater images are crucial in various underwater applications, including marine engineering, underwater robotics, and subsea coral farming. However, obtaining paired data for these images is challenging due to factors such as light absorption and scat...
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Ruoyu Chen and Ying Chen
To detect a desired underwater target quickly and precisely, a real-time sonar-based target detection system mounted on an autonomous underwater helicopter (AUH) using an improved convolutional neural network (CNN) is proposed in this paper. YOLOv5 is in...
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Valery Bobkov, Antonina Shupikova and Alexander Inzartsev
The inspection of condition of underwater pipelines (UPs) based on autonomous underwater vehicles (AUVs) requires high accuracy of positioning while the AUV is moving along to the object being examined. Currently, acoustic, magnetometric, and visual mean...
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Tianchi Zhang, Yong Gao, Zhiyong Wang and Mingjun Zhang
This paper studies the underwater image restoration problem in autonomous operation of AUV guided by underwater visual. An improved underwater image restoration method is developed based on multi-frame neighboring images under artificial light source. At...
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Marius Paraschiv, Ricardo Padrino, Paolo Casari, Eyal Bigal, Aviad Scheinin, Dan Tchernov and Antonio Fernández Anta
The automatic classification of fish species appearing in images and videos from underwater cameras is a challenging task, albeit one with a large potential impact in environment conservation, marine fauna health assessment, and fishing policy. Deep neur...
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Jarina Raihan A, Pg Emeroylariffion Abas and Liyanage C. De Silva
Underwater images are extremely sensitive to distortion occurring in an aquatic underwater environment, with absorption, scattering, polarization, diffraction and low natural light penetration representing common problems caused by sea water. Because of ...
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Tao Sun, Yugui Tang and Zhen Zhang
The proposed method can be applied to the restoration for turbulence degraded video in nuclear power plant reactors, underwater target or aerial target monitoring, and surveillance of shallow riverbeds to observe vegetation.
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Jao-Chuan Lin, Chih-Bin Hsu, Jen-Chun Lee, Chung-Hsien Chen and Te-Ming Tu
Underwater images often come with blurriness, lack of contrast, and low saturation due to the physics of light propagation, absorption, and scattering in seawater. To improve the visual quality of underwater images, many have proposed image processing me...
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Rong Du, Weiwei Li, Shudong Chen, Congying Li and Yong Zhang
Underwater image enhancement recovers degraded underwater images to produce corresponding clear images. Image enhancement methods based on deep learning usually use paired data to train the model, while such paired data, e.g., the degraded images and the...
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Chengyang Peng, Shaohua Jin, Gang Bian, Yang Cui and Meina Wang
The scarcity and difficulty in acquiring Side-scan sonar target images limit the application of deep learning algorithms in Side-scan sonar target detection. At present, there are few amplification methods for Side-scan sonar images, and the amplificatio...
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Alexandra Nunes and Aníbal Matos
Nowadays, semantic segmentation is used increasingly often in exploration by underwater robots. For example, it is used in autonomous navigation so that the robot can recognise the elements of its environment during the mission to avoid collisions. Other...
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Erkang Chen, Tian Ye, Qianru Chen, Bin Huang and Yendo Hu
Underwater images often suffer from low contrast, low visibility, and color deviation. In this work, we propose a hybrid underwater enhancement method consisting of addressing an inverse problem with novel Retinex transmission map estimation and adaptive...
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Jarina Raihan Ahamed, Pg Emeroylariffion Abas, Liyanage Chandratilak De Silva
Pág. 195 - 205
The objective of this study is to convert normal aerial images into underwater images based on attenuation values for different water types by utilizing the image formation model (IFM) with Jerlov water types. Firstly, the depth values are derived from R...
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Laurent Beaudoin, Loïca Avanthey, Corentin Bunel and Charles Villard
The 3D reconstruction of underwater scenes from overlapping images requires modeling the sensor. While underwater self-calibration gives good results when coupled with multi-view algorithms, calibration or pre-calibration with a pattern is still necessar...
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Dmitry A. Konovalov, Natalie Swinhoe, Dina B. Efremova, R. Alastair Birtles, Martha Kusetic, Suzanne Hillcoat, Matthew I. Curnock, Genevieve Williams and Marcus Sheaves
A predictable aggregation of dwarf minke whales (Balaenoptera acutorostrata subspecies) occurs annually in the Australian waters of the northern Great Barrier Reef in June?July, which has been the subject of a long-term photo-identification study. Resear...
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Guan Wei Thum, Sai Hong Tang, Siti Azfanizam Ahmad and Moath Alrifaey
Underwater cables or pipelines are commonly utilized elements in ocean research, marine engineering, power transmission, and communication-based activities. Their performance necessitates regularly conducted inspection for maintenance purposes. A vision ...
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Fangfang Liu and Ming Fang
Image semantic segmentation technology has been increasingly applied in many fields, for example, autonomous driving, indoor navigation, virtual reality and augmented reality. However, underwater scenes, where there is a huge amount of marine biological ...
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Kai Hu, Chenghang Weng, Yanwen Zhang, Junlan Jin and Qingfeng Xia
Underwater video images, as the primary carriers of underwater information, play a vital role in human exploration and development of the ocean. Due to the optical characteristics of water bodies, underwater video images generally have problems such as c...
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Gaosheng Luo, Gang He, Zhe Jiang and Chuankun Luo
To address the phenomenon of color shift and low contrast in underwater images caused by wavelength- and distance-related attenuation and scattering when light propagates in water, we propose a method based on an attention mechanism and adversarial autoe...
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Yu Ning, Yong-Ping Jin, You-Duo Peng and Jian Yan
Efficient underwater visual environment perception is the key to realizing the autonomous operation of underwater robots. Because of the complex and diverse underwater environment, the underwater images not only have different degrees of color cast but a...
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