基于自适应小波变换的红外图像去噪算法  

Infrared image denoising algorithm based on adaptive wavelet transform

作　　者：曹斌芳[1] 李建奇[2] 郭杰荣[1] 刘长青[1] 

机构地区：[1]湖南文理学院物理与电子科学学院,湖南常德415000 [2]湖南文理学院电气与信息工程学院,湖南常德415000

出　　处：《湖南文理学院学报（自然科学版）》2011年第3期37-40,共4页Journal of Hunan University of Arts and Science(Science and Technology)

基　　金：湖南省自然科学基金(11JJ6062);湖南文理学院青年专项基金(YXQN1005)

摘　　要：针对红外图像存在的加性、乘性及混合噪声,提出了一种自适应小波变换的图像去噪算法.该方法首先用小波变换对含噪图像信号进行小波分解,这样可以保证对图像中的不相关噪声的有效抑制,保持图像的细节信息.然后将经小波变换所分离出来的噪声成分作为自适应滤波器的输入,通过选用自适应滤波算法从而实现信噪分离的最佳滤波.仿真结果表明,本文提出的去噪算法优于已有的各种算法,提高了图像的对比度,突出了图像细节.According to infrared images with additive,multiplicative,and mixed noise,this paper puts forward a infrared image denoise algorithm based on adaptive wavelet transform.First,noised infrared image signal is investigated using wavelet transform,additive noise is reduced so that infrared images detail is maintained,then the separated noise of signal by wavelet transform is the input signal of adaptive filter.The optimal filtering method of signal-noise decomposition is realized by filter algorithm and correlated noise of signal removaled is established.Simulation results show that the proposed denoising algorithm is better than many exiting methods,and solves the problem of the low contrast in infrared image,and highlights the image detail.

关 键 词：红外图像 小波变换 维纳滤波 

分 类 号：TN911.73[电子电信—通信与信息系统]