A Fusion Based Enhancement of Underwater Image Restoration System

  • Mrs. Parul Khatri, Dr. Mohit Gangwar

Abstract

In this paper a photo retrieval program is introduced based on mergers to enhance underwater images as they suffer from inconsistent light, low contrast, blur and color. The proposed strategy is based on an organization-based policy that focuses on input images, weight and weight map and white balance estimates from a damaged or submerged image. This method aims to produce an image that overcomes the shortcomings of the original image or image with images that do not have clear ideas using many weight loss maps which are the weight maps of Luminance, Contrast, Chromatic and Saliency. Using the above water techniques have been found to have features such as noise reduction and better exposure of black regions as well as continuous global development with better details and edges. The proposed fusion frame and wavelet wave also supports the temporary interaction between the adjacent frame by creating a functional boundary that maintains a noise reduction strategy. Improved results are achieved by two underwater images in a pre-pixel way. The overall results indicate that the proposed method provides better quality of underwater images with higher sound quality and color distortion of underwater images.

Published
2021-10-16
How to Cite
Mrs. Parul Khatri, Dr. Mohit Gangwar. (2021). A Fusion Based Enhancement of Underwater Image Restoration System. Design Engineering, 4620 - 4633. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/5417
Section
Articles