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Underwater Image Enhancement Using Image Processing
2022V. Nagamma, S. V. Halse
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Underwater Image Processing with Normalized AttUNet
2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3), 2023Mandeep Singh Soorma +4 more
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Current Trends and Prospects of Underwater Image Processing
2017In view of the consumption and distribution of resources in the world, the necessity of deep-sea mining video image processing is illustrated. Based on a large number of relevant literatures, this paper summarizes the research status of image processing methods for deep-sea mining observation video system, introduces the advantages of the improved ...
Jinjing Ji, Yujie Li, Yun Li
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Underwater images acquisition and processing system
2015A system (100) for acquiring and processing images of an aquatic environment is proposed. Said system (100) is adapted to be coupled with a fixed platform (305) or with an oceanographic device (405, 410, 415). The system comprises an acquisition module (105) adapted to acquire at least one image of an aquatic environment to be monitored; a control ...
CONSIGLIO NAZIONALE RICERCHE +2 more
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Underwater image pre-processing for photogrammetric application
2020This work describes a new method for correcting underwater images acquired under natural illumination condition and targeted to photogrammetry for 3D object reconstruction. In particular, a comparison between the new approach and a previous one from literature is presented.
Napolitano R. +2 more
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Underwater Real-Time Fish Recognition by Image Processing
Computer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications, 2013Oceans and seas cover more than 70% of earth’s surface. However, only a very small proportion of people know the underwater world. The challenging objective of this work is to help people to identify fish species. This can be performed in several situations.
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Mobile Platform Enables AI-Powered Underwater Image Processing
Journal of Petroleum Technology_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 35821, “A Mobile Platform for AI-Powered Underwater Image Processing,” by Chenyu Zhou, University of Houston; Lily Walker, William & Mary; and Xin Fu, University of Houston, et al.
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
exaly
Underwater Image Processing using Various Data Enhancement Methods
2022 14th International Conference on Computer Research and Development (ICCRD), 2022Jianbin Cheng, Kexin Wu, Kunpeng Liu
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