Enhancing Underwater Image Quality through Image Processing

Abstract

Underwater images find application in various fields, like marine research, inspection of aquatic habitat, underwater surveillance, identification of minerals, and more. Longer wavelengths are absorbed by water at greater depths. Due to the greater wavelength, red is absorbed and the images seem primarily bluish-green. Images suffer greatly as a result of these phenomena, which causes low contrast, color distortion, and poor visibility. Underwater photos must therefore be improved in order to retain the important information they provide and make them suitable for a variety of uses.

The proposed system enhances underwater image quality through image processing techniques. The system includes color correction, image sharpening and image fusion methods and aims to provide more accurate solutions for underwater image enhancement. This system offers real-time adaptability, making it suitable for applications like underwater robotics, live video streaming, and autonomous underwater vehicles (AUVs). It has the potential to significantly impact scientific research, exploration, and underwater technology by improving underwater image quality and versatility.