信息与控制2012，Vol.41Issue(3)：278-282,5.DOI:10.3724/SP.J.1219.2012.00278
基于静态小波变换和2代曲波变换的图像融合算法
An Image Fusion Method Based on the Second Generation Curvelet and Stationary Wavelet Transform
周厚奎1
作者信息
- 1. 浙江农林大学信息工程学院,浙江杭州310027
- 折叠
摘要
Abstract
An image fusion algorithm based on stationary wavelet transform (SWT) and second generation curvelet transform is proposed. High and low frequency components of the original images are respectively gotten by using SWT transform firstly. Then the low frequency components are fused by the image fusion method based on the second generation curvelet transform, and high frequency components are fused by the method based on the maximum absolute values. Finally, the inverse SWT transform is applied to getting the fused image. Experimental results show that the algorithm has the advantages of both the second generation curvelet transform and SWT transform. The subjective and the objective evaluations of the proposed algorithm are superior to individual second generation curvelet transform and individual SWT transform fusion algorithm alone, and also better than the fusion algorithm by combining discrete wavelet transform (DWT) and curvelet transform.
关键词
图像融合/静态小波变换/曲波变换/评价指标/多聚焦图像Key words
image fusion/ stationary wavelet transform/ curvelet transform/ evaluation index/ multifocus image分类
信息技术与安全科学引用本文复制引用
周厚奎..基于静态小波变换和2代曲波变换的图像融合算法[J].信息与控制,2012,41(3):278-282,5.
