Enhancement Techniques for Underwater Images

In this paper we present techniques for enhancement of underwater images that have been degraded because of scattering and absorption in the medium. These require only image processing software Without the use of any specialized hardware. The scene’s organizational pattern or the situation under the sea changes as we go deeper into the waters. Merging two images that are at once created from the same source version of the image that has been contrast corrected and white balanced is performed on the original image. The two images are produced by the fusion process, in addition to the weightsthat are associated with them. The aim of using maps is to improve the way the colours and borders are transferred to the enhanced image. A detailed weight map is used to avoid thelow-frequency components, transitions, and variations which may cause artifacts. In addition to this, the paper makes use of a multi-scale fusion approach and uses the images when they were recreated. The comprehensive approach to qualitative and the result of the quantitative study also presented. Images with dark components have improved visibility, the overall contrast has been enhanced, and the edges now have a greater degree of sharpness. Our investigation has also shown that proves that our method was designed correctly. It is not very unaffected by the settings of the camera and improves several aspects of the precision of the picture processing program. For example, in a picture,two strategies that can be used are segmentation and key point matching. It has the potential to enhance the image’s current quality. In confirming the order to get these improved outcomes, we have employed PSNR, Mean Squared Error(MSE), as well as the Structural Similarity Index (SSIM), in addition to the histogram analysis as quantitative metrics.