摘要
针对经典的暗通道先验算法对图像去雾存在出现色斑、“白边”和细节缺失的问题,本文采用导向滤波与K阈值相结合的方法进行优化,并利用图像质量评估方法对优化后的算法进行测试和综合分析。经实验结果验证,优化后的算法比原有算法去雾效果更佳。
In view of the classic dark channel prior algorithm for image to fog will exist a splash and appear the"white",the problem of the missing details,the article adopts oriented filtering and K threshold method to optimize the combination,and use the image quality evaluation method for the optimized algorithm for testing and comprehensive analysis.The optimized algorithm are verified through the experiment to fog effect is better than the original algorithm.
作者
刘成涛
侯青山
赵俊旗
Liu Chengtao;Hou Qingshan;Zhao Junqi(School of Electronic Information,Xi'an Polytechnic University,Xi'an 710048,China)
出处
《单片机与嵌入式系统应用》
2022年第7期42-45,73,共5页
Microcontrollers & Embedded Systems
基金
国家自然科学基金资助(61901347)。
关键词
暗通道先验算法
导向滤波
K阈值
dark channel prior algorithm
guided filtering
K threshold
