Image Fusion Rule Based on PCNN
Image Fusion Rule Based on PCNN
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发表时间：
2008
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通讯作者：
Shen Ting-zhi
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作者：
Shen Ting-zhi
简要介绍了多小波变换和PCNN的原理和特点，提出了基于多小波分解得到的高频域和低频域的PCNN融合规则。为了验证所提规则的有效性，对可见光图像和红外图像进行了实验，并给出了评价融合质量的比较结果。实验结果表明，所提出的图像融合算法在增强图像对比度、保留图像细节信息和增加信息量方面具有明显的优势。
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.