Underwater images are characterised by low visibility while light is continuously attenuated as it passes through the water, resulting in scenes that are inadequately contrasted as well as noisy. The main objective is to remove noise from underwater images and enhance the visibility of an image by restoration method. A harmonic mean filtering (HMF) is used for removing Gaussian type noise as well as restoring and then Deep Weighted Map (DWP) is used for smoothing. Harmonic mean filter simultaneously removing positive outliers. A denoising technique (HMF-DWP) is implemented in this research to remove additive noise from underwater imagery. In the trials, the suggested method's denoising outcomes were compared and assessed against image data denoising methods that focus on PSNR and MSE. The results shows that the suggested underwater approach outperforms previous denoising methods.

Underwater Image, Denoising, Harmonic Mean Filtering, Deep Weighted Map, PSNR, and Image Enhancement.