Year: 2025
Type: article
Abstract: Underwater image quality is enhanced through processing techniques aimed at improving both the visual clarity and overall usability of the data. Underwater computer vision related tasks rely on images that often suffer from poor contrast, low semantic visibility and color casting due to the challenging aquatic environmental conditions. Enhancing underwater visibility is essential for advancing fields such as marine science, archaeology, and autonomous underwater exploration, as it provides a clearer and more reliable basis for both human interpretation and machine-based analysis. This paper briefly discusses the significance, evolving trends and the relevant literature related to underwater image enhancement and restoration. The central idea behind this is to give readers a clear understanding of the techniques employed in the field and the current state of progress. Review concludes by highlighting the prevailing issues identified through the in-depth analysis of existing literature, suggesting possibilities for future research
Author: Preet Kamal Kaur
Institution: Punjabi University
Language: English
Topic: Image Enhancement Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4413773142