Abstract
Abstract: Underwater photographs are an excellent resource for learning about marine life and analysing the hydrothermal winds that blow across the seafloor. Low contrast, colour distortion, and poor visual appeal are the main obstacles that an underwater image faces. Light disperses and refracts as it progresses from rarer to denser, resulting in a plethora of complexities. The dispersion of light reduces the colour contrast. Water, in addition to dispersion, modifies subsea images due to the presence of subsea animals. We provide a new method for improving underwater fusion photos that accurately restores images underwater. Because the input and a set of processes, such as white balance, gamma correction, sharpening, and weight map manipulation, result in a single image. This research suggests a novel method for recovering and improving underwater photos. We recommended a light canal in front of the underwater environment as the initial step. A clear channel image was analysed and adjusted, environmental light was approximated, and the transmission image was refined in order to reconstruct underwater photos. The simulation was run using the MATLAB software.
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