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Computer-Aided Algorithms for Underwater Image Enhancement and Object Detection
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Author(s): Naveena T. Joseph (Amal Jyothi College of Engineering, India)and S. N. Kumar (Amal Jyothi College of Engineering, India)
Copyright: 2025
Pages: 22
Source title:
Signal and Image Processing Techniques for Defense, Security, and Healthcare
Source Author(s)/Editor(s): B. Omkar Lakshmi Jagan (Vignan's Institute of Information Technology, India), Amrit Mukherjee (University of South Bohemia, Czech Republic), Thayyaba Khatoon Mohammed (Malla Reddy University, India)and Vustikayala Sivakumar Reddy (Malla Reddy University, India)
DOI: 10.4018/979-8-3693-3840-7.ch004
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Abstract
The underwater world holds a wealth of secrets as it dominates three fourth of the earth surface. However, capturing underwater images with clear details is not an easy task. Light scattering, absorption, and limited visibility create a challenging environment for traditional cameras. The various phenomena that degrade underwater images and how it affect image clarity are examined. The image enhancement techniques, both traditional methods and cutting-edge deep learning approaches, which tackle issues like color correction, contrast enhancement, and haze removal, effectively restoring the true colors and details hidden beneath the water's surface are considered. Image enhancement plays a crucial role as a pre-processing step, paving the way for more accurate object detection. Various deep learning-based frameworks specifically designed to excel in these challenging conditions are explored in this chapter.
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