4种保边滤波器在图像去雾算法应用中的性能比较研究  

Performance Comparison Study of Four Kinds of Edge-preserving Filters in Application of Image Dehazing Algorithm

作　　者：刘巧玲[1] 张红英[2] 

机构地区：[1]成都大学电子信息工程学院,四川成都610106 [2]西南科技大学信息工程学院,四川绵阳621010

出　　处：《成都大学学报（自然科学版）》2014年第1期32-36,共5页Journal of Chengdu University（Natural Science Edition）

摘　　要：在雾霾等能见度低的天气条件下,大气粒子的散射作用造成拍摄的图像质量严重下降.在众多基于物理模型的图像去雾算法中,各种滤波器被广泛得到应用.对4种具有边缘保持特性的滤波器在图像去雾算法的应用进行了研究.实验结果表明,Guided-image滤波器具有更好的保边特性,且处理速度快,更适用于图像去雾.Imaging in the atmosphere is often degraded by amaospheric scattering caused atmospheric parti- cles such as fog,haze and mist. Various filters are widely applied among many image dehazing algorithms based on the physical model. This paper researches the application of four filters with edge-preserving prop- erties in the image dehazing algorithms. The experimental results show that the guided-image filter has bet- ter edge-preserving properties and faster processing speed, which is more suitable for image dehazing.

关 键 词：滤波器 图像去雾 边缘保持 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]