Published Paper Details:

Images taken from underwater usually suffer from the problems of quality degradation and distortions due to various factors such as absorption, scattering, presence of the suspended particles, etc. To address these problems, a series of underwater image enhancement and restoration technologies are applied to underwater vision tasks. There are various methods like filtering based methods, color correction based methods, image fusion based methods, and deep learning methods for underwater image enhancement This paper is to review different image enhancement techniques and an image enhancement method is proposed here.. A novel color correction method based on color filter array(CFA) and an enhancement method based on Retinex with dense pixels and adaptive linear histogram transformation for degraded color-biased underwater image is proposed here .This aim to bring more enhancement in underwater degraded images with high fidelity leading to an improved global contrast, reduced noise level, and also retaining intricate and sharp details of the original images