Image fusion based on point spread function and iteration

被引：0

作者：

Xiao, YL ^{[1
]}

Ruan, QQ ^{[1
]}

机构：

[1] Beijing JiaoTong Univ, Inst Informat Sci, Beijing 100044, Peoples R China

来源：

2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3 | 2004年

关键词：

image fusion; point spread function (PSF); modal of image system;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The technology of image fusion is one of the most important technologies in digital image process. It has been applied to many fields such as military affairs, remote sensor, computer vision, medical image process and so on. Now there are many approaches in image fusion such as Weighted Averaging Algorithm, Contrast Modulation Algorithm, Toet Algorithm and Wavelet Transform Algorithm and so on. In this paper, a new algorithm for image fusion based on Point Spread Function (PSF) is presented and applied to medical images, the result is satisfying. By comparison, we find that the Algorithm based on PSF is suitable for image fusion.

引用

页码：1060 / 1063

页数：4

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