Class 3 Wiener Filtering for Underwater Image Enhancement and Restoration

Abstract

Visibility in underwater images is usually poor because of the presence of impurities and light being absorbed and scattered when traveling through the impure water. In this paper, TURBID image datasets are used to undergo image enhancement and restoration. TURBID datasets consist of three different types of underwater image conditions where the water solution is added with blue solution, milk solution, and chlorophyll solution. Then, the images undergo Histogram equalization (HE) and Wiener filter respectively for image enhancement and image restoration. HE as the chosen enhancement method proved that it could enhance the image quality as the water surface can be seen clearer after enhancement. Wiener Filter Class 3 is chosen as a restoration method to reduce the mean square error (MSE) value and to get a high Peak signal-to-noise ratio (PSNR) with desired SNR value. Finally, these two image processing technique, i.e., enhancement, and restoration are combined and then all the quantitative values are compared to show the image quality and clarity can be improved with the two processing techniques.