基于块方向性小波变换的图像融合算法

J4 ›› 2016, Vol. 33 ›› Issue (1): 29-34.

基于块方向性小波变换的图像融合算法

顾思思宋梅

湖南科技学院计算机与通信工程系，湖南永州，425199

收稿日期:2015-02-12 修回日期:2015-04-14 出版日期:2016-01-28 发布日期:2016-01-06
通讯作者: 顾思思(1982-)，女，硕士，讲师，主要研究方向为多值逻辑、图像处理与模式识别、嵌入式技术。
基金资助:
湖南省教育厅科学研究项目(13C847)；湖南科技学院校级科研项目(14XKY111)

Image fusion algorithm based on with patch-based directional wavelets

Gu Si-si ,Song Mei

Department of Computer and Communication Engineering, Hunan University Of Science And Engineering, Yongzhong 425199, China

Received:2015-02-12 Revised:2015-04-14 Published:2016-01-28 Online:2016-01-06

摘要/Abstract

摘要：

针对传统小波变换存在的缺陷，提出了一种基于块方向性小波变换的图像融合算法。首先将输入的图像均匀划分成多个子块，并通过训练确定每块图像的方向性小波；然后利用块方向性小波对图像进行稀疏变换得到稀疏系数，最后对融合系数进行逆变换得到融合图像，并采用仿真实验对算法性能进行测试。实验结果表明，相对于其它图像融合算法，如DTC、FFT和DWT等，本算法无论是在近物图像、遥感图像还是红外线图像上，其信息熵和平均梯度等图像融合质量评价指标都更优，使图像融合过渡效果更加自然。同时其图像融合速度更快，可以满足图像处理系统实时性的需求。

关键词: 图像融合；稀疏表示；几何方向；块方向性小波

Abstract:

In order to solve defect of the traditional wavelet transform, a novel image fusion algorithm based on patch-based directional wavelet is proposed in this paper. Firstly, the image is divided into many patches, and the directional wavelet is obtained by training each patch, and then the sparse coefficients of input images are acquired by sparsely represented using the directional wavelet, finally, the fused image is reconstruction by transforming the coefficients reversely, and the simulation experiment is use to test the performance of the algorithm. The experimental results show that the proposed algorithm makes the image fusion transition effect is more natural compared with the traditional algorithm such as DTC,FFT and DWT.Because it’s image fusion quality evaluation indexes are better in the information entropy and the average gradient. At the same time,the image fusion is faster and it can meet the demand of real-time image processing system.

Key words: image fusion; parse represent; geometric direction; patch-based directional wavelet

中图分类号:

TP317

顾思思宋梅. 基于块方向性小波变换的图像融合算法[J]. J4, 2016, 33(1): 29-34.

Gu Si-si ,Song Mei. Image fusion algorithm based on with patch-based directional wavelets[J]. J4, 2016, 33(1): 29-34.

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