Underwater Image Enhancement Using Image Processing

Abstract

The field of underwater image processing has evolved to become more thought about subject in recent decades, and it has made significant progress. In this study, we look at some of the most modern underwater approaches that have been created specifically for the environment. These strategies can improve image contrast and resolution while also expanding the range of underwater imaging. We focus on the numerous methodologies available in the literature after discussing the basic physics of wave scattering in the water medium. The circumstances under which they were created, as well as the quality evaluation procedures that were utilised to measure their performance, are highlighted. The HWD transform is then used to sharpen the picture. A highpass filter is used to eliminate the low-frequency background. Image histograms are mapped based on the intermediate colour channel to narrow the gap between the inferior and dominant colour channels. Wavelet fusion and an adaptive local histogram definition technique are utilised after that. It presents an improved underwater picture improvement system based on an image reconstruction method that can accurately restore underwater photos. The given approach takes a single image as input and performs a series of operations on it, including gamma evaluations, white balancing, sharpening. To produce the desired output, multiscale picture fusion of the inputs is performed. The colour imprecise input image is white balanced in the first stage to remove colour casts and retain a realistic undersea image. The output photographs from the proposed approach might then be used for detection and identification to extract more useful data.