辽宁石油化工大学学报2011，Vol.31Issue(4)：72-75,4.DOI:10.3696/j.issn.1672-6952.2011.04.019
基于模糊逻辑增强有雾图像对比度的方法
Contrast Enhancement Method for Fog-Degraded Image Based on Fuzzy Logic
李拂晓 1纪玉波1
作者信息
- 1. 辽宁石油化工大学计算机与通信工程学院,辽宁抚顺113001
- 折叠
摘要
Abstract
To improve the visibility of fog-degraded images, a method for fog-degraded image clearness based on fuzzy logic was presented. The degraded image was mapped from the gray area to the fuzzy area,and then the fuzzy entropy was calculated to obtain the change rate of a pixel. By choosing the appropriate threshold for the fuzzy entropy,the image pixels were put into two categories,and then achieve different fuzzy feature enhancement operations. Experiment results show that this method can efficiently improve the degradation of image and enhance the clearness of image.关键词
雾天降质图像/对比度增强/模糊逻辑/模糊熵Key words
Fog-degraded images/Contrast enhancement/Fuzzy logic/Fuzzy entropy分类
信息技术与安全科学引用本文复制引用
李拂晓,纪玉波..基于模糊逻辑增强有雾图像对比度的方法[J].辽宁石油化工大学学报,2011,31(4):72-75,4.
