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Underwater image restoration has been a challenging problem for decades since the advent of underwater photography. Most solutions focus on shallow water scenarios, where the scene is uniformly illuminated by the sunlight. However, the vast…

Computer Vision and Pattern Recognition · Computer Science 2024-04-26 Yifan Song , Mengkun She , Kevin Köser

Nowadays underwater vision systems are being widely applied in ocean research. However, the largest portion of the ocean - the deep sea - still remains mostly unexplored. Only relatively few image sets have been taken from the deep sea due…

Computer Vision and Pattern Recognition · Computer Science 2021-02-24 Yifan Song , David Nakath , Mengkun She , Furkan Elibol , Kevin Köser

In general, underwater images suffer from color distortion and low contrast, because light is attenuated and backscattered as it propagates through water (differently depending on wavelength and on the properties of the water body). An…

Computer Vision and Pattern Recognition · Computer Science 2024-02-09 Tanmoy Mondal , Ricardo Mendoza , Lucas Drumetz

Underwater imagery often exhibits distorted coloration as a result of light-water interactions, which complicates the study of benthic environments in marine biology and geography. In this research, we propose an algorithm to restore the…

Computer Vision and Pattern Recognition · Computer Science 2023-09-01 Tianyi Zhang , Matthew Johnson-Roberson

Underwater robots play an important role in oceanic geological exploration, resource exploitation, ecological research, and other fields. However, the visual perception of underwater robots is affected by various environmental factors. The…

Image and Video Processing · Electrical Eng. & Systems 2021-01-08 Xuelei Chen , Pin Zhang , Lingwei Quan , Chao Yi , Cunyue Lu

Mapping the seafloor with underwater imaging cameras is of significant importance for various applications including marine engineering, geology, geomorphology, archaeology and biology. For shallow waters, among the underwater imaging…

Computer Vision and Pattern Recognition · Computer Science 2022-12-21 Panagiotis Agrafiotis , Konstantinos Karantzalos , Andreas Georgopoulos

Depth information plays a crucial role in autonomous systems for environmental perception and robot state estimation. With the rapid development of deep neural network technology, depth estimation has been extensively studied and shown…

Robotics · Computer Science 2024-11-11 Quang Truong Nguyen , Thanh Nguyen Canh , Xiem HoangVan

Images acquired during underwater activities suffer from environmental properties of the water, such as turbidity and light attenuation. These phenomena cause color distortion, blurring, and contrast reduction. In addition, irregular…

Image and Video Processing · Electrical Eng. & Systems 2022-08-09 Claudio D. Mello , Bryan U. Moreira , Paulo J. O. Evald , Paulo L. Drews , Silvia S. Botelho

Due to the absorption and scattering effects of the water, underwater images tend to suffer from many severe problems, such as low contrast, grayed out colors and blurring content. To improve the visual quality of underwater images, we…

Computer Vision and Pattern Recognition · Computer Science 2020-04-21 Hui Li , Xi Yang , ZhenMing Li , TianLun Zhang

Underwater images are degraded by the selective attenuation of light that distorts colours and reduces contrast. The degradation extent depends on the water type, the distance between an object and the camera, and the depth under the water…

Computer Vision and Pattern Recognition · Computer Science 2020-12-23 Chau Yi Li , Riccardo Mazzon , Andrea Cavallaro

Addressing the issue of submerged underwater trash is crucial for safeguarding aquatic ecosystems and preserving marine life. While identifying debris present on the surface of water bodies is straightforward, assessing the underwater…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Jaskaran Singh Walia , Pavithra L K

We introduce SeaSplat, a method to enable real-time rendering of underwater scenes leveraging recent advances in 3D radiance fields. Underwater scenes are challenging visual environments, as rendering through a medium such as water…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Daniel Yang , John J. Leonard , Yogesh Girdhar

Recently, a new underwater imaging formation model presented that the coefficients related to the direct and backscatter transmission signals are dependent on the type of water, camera specifications, water depth, and imaging range. This…

Robotics · Computer Science 2020-12-22 Monika Roznere , Alberto Quattrini Li

Underwater vision suffers from severe effects due to selective attenuation and scattering when light propagates through water. Such degradation not only affects the quality of underwater images but limits the ability of vision tasks.…

Computer Vision and Pattern Recognition · Computer Science 2018-01-16 Chongyi Li , Jichang Guo , Chunle Guo

Underwater environments pose significant challenges due to the selective absorption and scattering of light by water, which affects image clarity, contrast, and color fidelity. To overcome these, we introduce OceanLens, a method that models…

Image and Video Processing · Electrical Eng. & Systems 2024-11-21 Rajini Makam , Dhatri Shankari T M , Sharanya Patil , Suresh Sundram

Light Detection and Ranging (LiDAR) are fast emerging sensors in the field of Earth Observation. It is a remote sensing technology that utilizes laser beams to measure distances and create detailed three-dimensional representations of…

Signal Processing · Electrical Eng. & Systems 2025-04-15 Saad Ahmed Jamal

Shallow water and coastal aquatic ecosystems such as coral reefs and seagrass meadows play a critical role in regulating and understanding Earth's changing climate and biodiversity. They also play an important role in protecting towns and…

Image and Video Processing · Electrical Eng. & Systems 2022-11-17 Greg Sabella

Despite substantial technological advancements, the comprehensive mapping of surface water, particularly smaller bodies (<1ha), continues to be a challenge due to a lack of robust, scalable methods. Standard methods require either training…

Computer Vision and Pattern Recognition · Computer Science 2023-08-17 Hunsoo Song , Jinha Jung

To image in high resolution large and occlusion-prone scenes, a camera must move above and around. Degradation of visibility due to geometric occlusions and distances is exacerbated by scattering, when the scene is in a participating…

Computer Vision and Pattern Recognition · Computer Science 2015-12-08 Mark Sheinin , Yoav Y. Schechner

Underwater cameras are widely used to observe the sea floor. They are usually included in autonomous underwater vehicles, unmanned underwater vehicles, and in situ ocean sensor networks. Despite being an important sensor for monitoring…

Computer Vision and Pattern Recognition · Computer Science 2017-02-14 Huimin Lu , Yujie Li , Yudong Zhang , Min Chen , Seiichi Serikawa , Hyoungseop Kim
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