Abstract
Abstract
Aiming at the image degradation problems that occur during industrial activities and the shortcomings of traditional fuzzy enhancement algorithms in dealing with image degradation problems with high algorithm complexity and poor enhancement results. Based on the tuned tri-threshold fuzzy intensification algorithm, this paper proposes an adaptive image enhancement algorithm, which combines three kinds of degraded images in reality (i.e., images in dusty, night and foggy environments) for simulation verification, and compares the visual effects of the enhanced images and makes objective quantitative evaluation. The experimental results show that: the proposed algorithm can not only effectively improve the contrast of the image, keep the detailed information of the image, and make the image present a more natural visual effect, but also improve the quality evaluation index of the image, and make the variance value is improved by more than 5% compared with other comparison algorithms.
Subject
Computer Science Applications,History,Education
Reference10 articles.
1. Image enhancement using smoothing with fuzzy sets;Pal;IEEE Transactions on Systems Man and Cybernetic,1981
2. Research on Image Fuzzy Enhancement Algorithm with Tanh Operator;Liu;Journal of Phys. Conf Series,2020
3. Digital Image Fuzzy Enhancement Algorithm Based on Convolutional Neural Network;Guo;Journal of Jilin University (Engineering Edition),2022
4. Super-resolution restoration of degraded image based on fuzzy enhancement;Han;Arabian Journal of Geosciences,2021
5. Visibility Enhancement for Images Captured in Dusty Weather via Tuned Tri-threshold Fuzzy Intensification Operators;Al-Ameen;International Journal of Intelligent Systems Technologies & Applications,2016