Affiliation:
1. School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
Abstract
Enhancing underwater images presents a challenging problem owing to the influence of ocean currents, the refraction, absorption and scattering of light by suspended particles, and the weak illumination intensity. Recently, different methods have relied on the underwater image formation model and deep learning techniques to restore underwater images. However, they tend to degrade the underwater images, interfere with background clutter and miss the boundary details of blue regions. An improved image fusion and enhancement algorithm based on a prior dark channel is proposed in this paper based on graph theory. Image edge feature sharpening, and dark detail enhancement by homomorphism filtering in CIELab colour space are realized. In the RGB colour space, the multi-scale retinal with colour restoration (MSRCR) algorithm is used to improve colour deviation and enhance colour saturation. The contrast-limited adaptive histogram equalization (CLAHE) algorithm defogs and enhances image contrast. Finally, according to the dark channel images of the three processing results, the final enhanced image is obtained by the linear fusion of multiple images and channels. Experimental results demonstrate the effectiveness and practicality of the proposed method on various data sets.
Funder
University Scientific Research Project of Eduction Bureau of Guangzhou Municipality
Guangzhou City School Joint Project
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Reference41 articles.
1. Real-time polarization difference underwater imaging based on Stokes vector;Guan;Acta Phys. Sin.,2015
2. Underwater image enhancement based on the dark channel prior and attenuation compensation;Guo;J. Ocean Univ. China,2017
3. Underwater image enhancement: A comprehensive review, recent trends, challenges and applications;Raveendran;Artif. Intell. Rev.,2021
4. Adaptive enhancement of underwater images using multi-objective PSO;Sethi;Multimed. Tools Appl.,2019
5. Song, H.J., and Wang, R. (2021). Underwater image enhancement based on multi-scale fusion and global stretching of dual-model. Mathematics, 9.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献