中山大学学报（自然科学版）2017，Vol.56Issue(4)：16-19,4.DOI:10.13471/j.cnki.acta.snus.2017.04.003
基于剪切波变换和稀疏表示理论的图像融合方法
Fusion method based on shearlet transform and sparse representation
摘要
Abstract
In order to further impoove noisy image fusion effect,a novel fusion method for noise image based on shearlet transform and sparse representation is presented.The proposed scheme performs the four stages: ① Perform a shearlet transform decomposition of each source image and obtain their low-pass and high-pass coefficients;② Obtain the fused shearlet transform coefficients in the low-pass bands with a sparse representation based fusion approach while in the high-pass bands by fusing the largest absolution values;③ The hard thresholding is applied to the fusion shearlet transform coefficients.④ The result image is obtained by the inverse shearlet transform.Experimental results show that the proposed algorithm for image fusion is very effective.关键词
图像融合/剪切波变换/稀疏表示/多尺度变换Key words
image fusion/shearlet/sparse representation/multi-scale transform分类
信息技术与安全科学引用本文复制引用
常莉红..基于剪切波变换和稀疏表示理论的图像融合方法[J].中山大学学报（自然科学版）,2017,56(4):16-19,4.基金项目
国家自然科学基金(61362029,61379030) （61362029,61379030）
