基于DCT与PSO的可见光与红外图像融合方法

朱平哲

doi:10.13568/j.cnki.651094.2018.04.010

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基于DCT与PSO的可见光与红外图像融合方法

更新时间：2026-01-21

- 基于DCT与PSO的可见光与红外图像融合方法
- Journal of Xinjiang University (Natural Science Edition in Chinese and English) Vol. 35, Issue 4, Pages: 452-458(2018)
- 作者机构：
  
  三门峡职业技术学院信息传媒学院
- 作者简介：
- 基金信息：
- DOI：10.13568/j.cnki.651094.2018.04.010
  CLC： TP391.41
- Published：2018
- 稿件说明：
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[1]朱平哲.基于DCT与PSO的可见光与红外图像融合方法[J],2018,35(04):452-458.
[1]朱平哲.基于DCT与PSO的可见光与红外图像融合方法[J],2018,35(04):452-458. DOI： 10.13568/j.cnki.651094.2018.04.010.

DOI：10.13568/j.cnki.651094.2018.04.010.

摘要

针对可见光与红外图像融合问题

提出一种基于离散余弦变换(discrete cosine transform

DCT)与粒子群优化(Particle swarm optimization

PSO)的图像融合方法.先对源图像进行DCT变换再采用PSO算法获得优化权值因子

并用于完成源图像DCT系数的融合;其次

进行DCT逆变换得到初始融合图像;最后

利用直方图均衡化模型对初始融合图像进行优化得到最终融合图像.仿真实验结果表明

该方法与现有的代表性融合方法相比具有显著的优势.

Abstract

A novel fusion method for visible and infrared images using discrete cosine transform(DCT)and particle swarm optimization(PSO) is presented. Firstly

DCT is conducted on the source images.Secondly

PSO is used in the fusion process for obtaining the optimized weighting factor. These optimized weighting factors are used for fusing the DCT coefficients of visible and infrared images. Then

inverse DCT is applied for obtaining the initial fused image. Finally

an enhanced fused image is obtained through adaptive histogram equalization for a better visual understanding. Experimental results demonstrate the outperformance of the proposed method over many other state-of-the-art ones reported in literature.

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references

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