摘要
提出一种基于小波变换的红外图像去噪方法。该方法针对红外图像的噪声分布特性,对红外图像中的乘性噪声进行对数变换,使乘性噪声变为加性噪声,并对变换后红外图像的小波变换系数进行阈值处理实现图像去噪。实验结果表明:此方法比传统的小波变换方法对噪声有更好的抑制作用。
A new scheme of denoising of infrared image via wavelet transform is proposed. Aimed at the characteristic of noise distribution,the multiplicafive noise in infrared image is turned into additive noise using a logarithm. By thresholding processing the wavelet coefficients of noisy infrared image, the original image can be reconstructed. The experimental results show that the infrared image denoising effect has obvious superiority compared with tradition wavelet transform method.
出处
《传感器与微系统》
CSCD
北大核心
2006年第8期7-9,共3页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60572026)
关键词
红外图像去噪
乘性噪声
阈值处理
小波变换
infrared image denoising
muhiplicative noise
threshold processing
wavelet transform
