Assessment of Different Approaches used for Image Enhancement in Underwater Scenarios

There has been a lot of work done in the field of underwater image processing in recent years. Due to the difficulty of underwater photography, there has been an increase in research in this area. Underwater images frequently suffer from quality decline due to factors like low contrast, blurred features, shifting colors, noise, and variations in the water medium. Improving underwater images is a difficult problem in image processing with many practical implications. In this paper, we present a comprehensive review of the different approaches used for underwater image enhancement. Moreover, we compare different models in terms of accuracy. After that, future research directions have been discussed.