Application of Deep Learning in Underwater Image Processing

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Physical Oceanography".

Deadline for manuscript submissions: 5 September 2024 | Viewed by 38

Special Issue Editors


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Guest Editor
1. Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan
2. Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan
Interests: 3D reconstruction technology; deep learning; multimedia signal processing; video communication

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Guest Editor
Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan
Interests: underwater communication chip design and optimization; low-power underwater integrated circuit development; AUVs chip design; integrated circuit design
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Guest Editor
Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taichung 402, Taiwan
Interests: image/video processing; machine learning; computer vision; multimedia applications
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Special Issue Information

Dear Colleagues,

Underwater image processing is one of the key technologies driving advancements in fields such as marine biology, oceanography, underwater exploration, and more. Served as a carrier of information, the quality of underwater images significantly impacts various applications. However, capturing high-quality underwater images is challenging due to complex and uncontrollable conditions. Common issues include color distortion, blurred details, low contrast and brightness, and noise. These problems hinder both human perception and practical applications. Furthermore, the unique properties of underwater imaging, such as its selective light absorption and scattering, make it difficult to achieve satisfactory results with the existing in-air methods or traditional underwater image processing techniques.

In recent years, deep learning technologies have emerged as a game-changer in addressing these challenges and improving underwater image quality. These technologies provide new opportunities and insights, enhancing their applicability and reliability in real-world scenarios. This Special Issue aims to bring together leading researchers and practitioners from around the world to showcase their latest research findings and future directions in this dynamic field. We particularly welcome the submissions responding to the call for proposals on underwater image processing and analysis that leverage advanced deep learning techniques.

The scope of this Special Issue is to cover all aspects that relate to underwater image processing. Topics of interest include, but are not limited to, the following:

  • Underwater image enhancement and restoration;
  • Underwater image denoising;
  • Underwater object detection and classification;
  • Underwater object tracking;
  • Underwater object recognition;
  • Underwater semantic segmentation;
  • Underwater scene understanding;
  • Underwater image depth estimation;
  • Underwater 3D modeling;
  • Underwater image synthesis and generation;
  • Generative AI for underwater image processing;
  • Underwater image quality assessment methods, including full-reference assessment metrics, non-reference assessment metrics, etc.

Prof. Dr. Chia-Hung Yeh
Prof. Dr. Chua-Chin Wang
Dr. Guo-Shiang Lin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • deep learning
  • machine learning
  • underwater image processing
  • underwater vision
  • underwater drones
  • Autonomous Underwater Vehicles (AUVs)
  • ocean information engineering
  • ocean observation technologies
  • artificial intelligence in the underwater environment

Published Papers

This special issue is now open for submission.
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