计算机工程与应用Issue(1)：191-194,4.DOI:10.3778/j.issn.1002-8331.1203-0720
基于各向异性双变量收缩的含噪图像融合
Noisy image fusion based on anisotropic bivariate shrinkage
摘要
Abstract
A new image fusion method based on anisotropic bivariate shrinkage is proposed, focusing on the fusion of noisy images. The high frequency subbands are shrunk with anisotropic bivariate shrinkage in the wavelet domain to sup-press the noise effectively. The shrunk coefficients are fused by maximum absolution selection while average is taken to fuse the low frequency subbands. The fused image is obtained by taking inverse transform of the fused coefficients. Both subjective and objective assessments of the fusion results of multi-focus images and IR and visible images show that the proposed method works better in preserving details and suppressing noises of the source images.关键词
图像融合/各向异性双变量收缩/小波变换Key words
image fusion/anisotropic bivariate shrinkage/wavelet transform分类
信息技术与安全科学引用本文复制引用
殷松峰,王一程,杨华..基于各向异性双变量收缩的含噪图像融合[J].计算机工程与应用,2014,(1):191-194,4.基金项目
安徽省红外与低温等离子体重点实验室主任基金项目（No.2010A001006D）。 （）
