基于MMWF的红外图像预处理算法研究  

Research on Infrared Image Preprocessing Algorithm Based on MMWF

作　　者：张毅 周弘扬[1] 张国豪 Zhang Yi;Zhou Hongyang;Zhang Guohao(Air Force Logistic College,Xuzhou Jiangsu,221000;Troop 94303,Weifang Shandong,261000)

机构地区：[1]空军勤务学院,江苏徐州221000 [2]94303部队,山东潍坊261000

出　　处：《电子测试》2019年第24期35-36,共2页Electronic Test

摘　　要：针对单一滤波方式无法有效去除导弹红外探测图像中的混合噪声的问题,采用了一种基于中值维纳滤波(MMWF)的去噪算法。该算法将维纳滤波器中的均值算子替换为中值算子,利用中值滤波去除脉冲噪声,利用维纳滤波去除高斯白噪声。实验结果证明,中值维纳滤波算法处理之后的图像信噪比增益(SNRG)和背景抑制因子(BSF)指标高,处理效果好。Aiming at the problem that the single filtering method can not effectively remove the mixed noise in the missile infrared detection image, a denoising algorithm based on the MMWF is adopted. The algorithm replaces the mean operator in the Wiener filter with a median operator, removes the impulse noise with Median Filter, and removes the Gaussian white noise with the Wiener Filter. The experimental results show that the SNRG and BSF index of the image processed by the MMWF algorithm are high and the processing effect is good.

关 键 词：中值维纳滤波 红外图像 预处理算法 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]