Underwater image enhancement by using color correction and contrast techniques

Abstract

An image in the underwater ocean depth of 10 meters by capturing a low-resolution camera. An image is characterized by low contrast and blurriness. Despite water medium has considering the propagation of light, it degrades the underwater image due to refraction, scatters, and color absorption. This underwater image needs to improve its color contrast and quality image by using Simple Histogram Equalization for color correction and DSNMF (Deep Sparse Non-Negative Matrix Factorization) for color contrast improvement. Finally, the proposed method results describe based on the observations of the qualitative and quantitative parameters of PSNR (Peak Signal to Noise Ratio), RMSE (Root Mean Square Error), and SSIM (System Similarity Index Matrix). The output of This proposed method is shown a qualitative state-of-the-art underwater enhanced image with better brightness and contrast and developed technique simulation produces a quantitative output of enhancing the image of PSNR, RMSE, and SSIM are 25.256, 13.235, and 8.232, with these parameters increasing better quality visual perception.