| 基于PCNN的图像融合规则 |
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| 引用本文： | 王志慧,赵保军,沈庭芝. 基于PCNN的图像融合规则[J]. 激光与红外, 2008, 38(5): 485-488 |
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| 作者姓名： | 王志慧 赵保军 沈庭芝 |
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| 作者单位： | 1. 北京理工大学信息科学技术学院电子工程系,北京,100081;内蒙古大学理工学院电子工程系,内蒙古呼和浩特,010021
2. 北京理工大学信息科学技术学院电子工程系,北京,100081 |
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| 摘 要： | 简单介绍了多小波变换和脉冲耦合神经网络(pulse-coupled neural network, PCNN)的原理和特点.提出了在多小波分解后的高频域和低频域都使用基于PCNN的融合规则的算法.为了验证所提出的融合规则的有效性,对可见光图像和红外图像进行了融合实验,给出了评价融合质量的对比结果.实验结果表明,所提出的图像融合算法在增加图像对比度、保留图像细节信息、增加信息量方面都有明显的提高.
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| 关 键 词： | 脉冲耦合神经网络 图像融合规则 多小波变换 |
| 文章编号： | 1001-5078(2008)05-0485-04 |
| 修稿时间： | 2007-11-12 |
Image Fusion Rule Based on PCNN |
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| WANG Zhi-hui,ZHAO Bao-jun,SHEN Ting-zhi. Image Fusion Rule Based on PCNN[J]. Laser & Infrared, 2008, 38(5): 485-488 |
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| Authors: | WANG Zhi-hui ZHAO Bao-jun SHEN Ting-zhi |
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| Affiliation: | Department of Electronic Engineering,College of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China; Department of Electronic Engineering,College of Science and Technology,Inner Mongolia University,Hohhot 010021,China |
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| Abstract: | The principles and features of multiwavelet transform and PCNN are described in brief.Then the algorithm adopted the fusion rule based on PCNN in not only high frequency domain but also low one obtained by multiwavelet decomposition is proposed.In order to verify the effectiveness of proposed rules,the experiments upon visible light image and infrared image are done.Moreover,comparative results of evaluating fusion quality are listed.The experimental results show that proposed image fusion algorithm performs obviously better in enhancing image contrast,reserving image details of the information and increasing the amount of information. |
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| Keywords: | pulse-coupled neural network image fusion rule multiwavelet transform |
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