Year: 2024
Type: conference-paper
Abstract: Reliable restoration of color loss in underwater images remains a challenge. Reliable restoration of underwater images usually requires solving three main difficulties, including color cast, underexposure, and blur. We propose a new algorithm for improving the quality of underwater images. The algorithm consists of three parts: color correction, brightness adjustment, and image deblurring. First, color correction is performed on the image so that the average value of the color channels of the image tend to be the same, and then adjust the brightness of the image based on the Retinex model. Finally, for the image blurring problem in the image after the brightness adjustment, use the guided image filtering to remove blurry. Experimental results show that our method is visually superior to other underwater image enhancement methods, and the processing method is relatively simple.
Authors: Xiaojing Li, Mingjian Jiang, Xupeng Wang
Institution: Qingdao University of Technology
Language: English
Topic: Image Enhancement Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4399257580