Multi-Focus Image Fusion Based on WNMF and Focal Point Position Analysis

A Du Jian Hua

您当前的位置：

首页 >

文章列表页 >

Multi-Focus Image Fusion Based on WNMF and Focal Point Position Analysis

更新时间：2023-11-14

- Multi-Focus Image Fusion Based on WNMF and Focal Point Position Analysis
- Advanced Engineering Sciences Vol. 43, Issue Z1, Pages: 129-132(2011)
- 作者机构：
  
  四川大学
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011，
  
  Published Online：5 April 2011，
扫描看全文
阿都建华.基于WNMF和聚焦点定位分析的多聚焦图像融合方法[J].工程科学与技术,2011,43(Z1):129-132.

A Du Jian Hua. Multi-Focus Image Fusion Based on WNMF and Focal Point Position Analysis. [J]. Advanced Engineering Sciences 43(Z1):129-132(2011)
阿都建华.基于WNMF和聚焦点定位分析的多聚焦图像融合方法[J].工程科学与技术,2011,43(Z1):129-132. DOI：

A Du Jian Hua. Multi-Focus Image Fusion Based on WNMF and Focal Point Position Analysis. [J]. Advanced Engineering Sciences 43(Z1):129-132(2011) DOI：

摘要

中文摘要: 本文在非负矩阵分解（NMF）图像融合方法的基础上，提出一种基于加权非负矩阵分解（WNMF）和聚焦点定位分析的多聚焦图像融合方法。该方法利用光学系统成像原理及点扩散函数在光学成像过程中的作用，判定多聚焦图像中的聚焦点的近似位置，并以此为基础构建一个权值矩阵，然后将加权非负矩阵算法应用于图像融合中，最后得到一幅各部分都聚焦清晰的图像。实验结果表明，通过本文提出的方法得到的融合图像效果优于普通的非负矩阵分解方法、小波变换法方法及拉普拉斯塔式方法。

Abstract

Abstract:In this paper

a multi-focus image fusion method based on the weighted non-negative matrix factorization is presented to improve image fusion method based on non-negative matrix factorization. The method analyzed the relationship between the point spread function in optical system and imaging processing

and built a weight matrix U by determining the focal point on multi-focus images. Finally

the weighted non-negative matrix algorithm was applied for image fusion and got a new image that all parts of the image were clear. Experimental results showed that the image fusion method is better than non-negative matrix factorization method

wavelet transform fusion method and Laplacian pyramid fusion method.

关键词

图像融合多聚焦图像非负矩阵分解聚焦点加权

Keywords

image fusionMulti-focus imageNon-negative matrix factorizationfocal pointweighted

references

更多指标>

Views

下载量

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

An Improved Dehazing Algorithm Based on Near Infrared Image

Remote Sensing Image Variation Detection on Multi-scale MRF Fusion

An Algorithm of Image Dehazing Using Near-Infrared

Related Author

No data

Related Institution

School of Aeronautics and Astronautics, Sichuan Univ.

National Key Lab. of Air Traffic Control Automation System Technol., Sichuan Univ.

福州大学物理与信息工程学院

中国飞行试验研究院

四川大学视觉合成图形图像技术国防重点学科实验室

⁰