A Detailed Understanding of Underwater Image Enhancement using Deep Learning

Abstract

In the last few years underwater image processing has attracted much attention because of its importance in marine engineering and aquatic robotics. Various algorithms have been proposed for underwater image enhancement, but for their assessment either synthetic datasets or few selected real images were used. In this literature review paper we discussed few latest underwater image enhancement method based on deep learning. These methods not only enhance the images but also provide better results as compared to enhancement and restoration method. These deep learning based methods increasing the variety in underwater imaging, enhancing underwater image quality and providing wider scope in terms of improvisation. This paper mainly focuses on latest algorithms, their datasets and their evaluation criteria based on various parameters. At last we compare the results of these algorithms.