An Improved Gray Multi-focus Image Fusion Algorithm Based on Dual-Tree Complex Wavelet Transform

被引：0

作者：

Wang Jianyu ^{[1
]}

Liu Xiaojun ^{[2
]}

机构：

[1] Huanggang Normal Univ, Sch Transportat, Hubei, Huanggang, Peoples R China

[2] Huanggang Normal Univ, Sch Elect Informat, Hubei, Peoples R China

来源：

PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON MECHATRONICS, CONTROL AND ELECTRONIC ENGINEERING | 2014年 / 113卷

基金：

湖北省教育厅重点项目;

关键词：

Multi-focus Image Fusion; Fuzzy Theory; Dual-Tree Complex Wavelet Transform;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a gray multi-focus image fusion algorithm based on fuzzy theory classification and Dual-Tree Complex Wavelet Transform is proposed in accordance with fusion of gray multi-focus images. Fuzzy theory is introduced to remove uncertainty when choosing sub-band coefficients in smooth regions after Dual-Tree Complex Wavelet Transform. Fuzzy membership is used to measure the mapping relation between different feature types of images and corresponding pixels gray values. The uncertainty probably exists in fusion process is removed efficiently. Efficient fusion and detail enhancement of images are realized. Simulation results verify the effectiveness and superiority of proposed algorithms.

引用

页码：203 / 206

页数：4

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