计算机与数字工程2019，Vol.47Issue(10)：2585-2588,4.DOI:10.3969/j.issn.1672-9722.2019.10.040
一种基于模糊理论的阴霾天气图像增强改进算法∗
An Improved Foggy Image Enhancement Algorithm Based on Fuzzy Theory
摘要
Abstract
The status of the captured image in the thick weather blurred and contrast down,in the traditional fuzzy enhance?ment algorithm based on Pal itself has the fixed part of the gray lost. A fast fuzzy bonus algorithm based on different haze weather im?ages and flexible selection of reasonable crossing points in proposed. The new membership function will accelerate the speed of the algorithm,and the improved algorithm can improve the performance of the algorithm.关键词
阴霾/图像增强/模糊增强算法/渡越点Key words
thick weather/image enhancement/fuzzy enhancement algorithm/transit point分类
信息技术与安全科学引用本文复制引用
姜庆伟,苏兴龙..一种基于模糊理论的阴霾天气图像增强改进算法∗[J].计算机与数字工程,2019,47(10):2585-2588,4.基金项目
2015年陕西工业职业技术学院自然科学重点研究项目"基于模糊理论的图像增强技术研究与实现"(编号:ZK15—05)资助. （编号:ZK15—05）
