A multi-focus image fusion algorithm based on an improved dual-channel PCNN in NSCT domain
A multi-focus image fusion algorithm based on an improved dual-channel PCNN in NSCT domain
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NSCT领域基于改进双通道PCNN的多焦点图像融合算法
DOI：
10.1016/j.ijleo.2012.12.032
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发表时间：
2013-10
期刊：
影响因子：
3.1
通讯作者：
Jia Weitao
中科院分区：
文献类型：
--
作者：
Zhang Baohua;Lu Xiaoqi;Jia Weitao
提出了一种基于NSCT域双通道PCNN的多焦点图像融合算法。基于多尺度变换的融合算法容易产生伪吉布斯效应，对微弱或部分明亮的图像融合效果不佳。为了解决这些问题，该算法通过NSCT变换得到两幅图像的多个不同频率的子图像，详细讨论了NSCT分解得到的不同子带系数的选择原则，并基于改进的双通道PCNN对图像进行融合以确定带通子带系数，最后通过NSCT逆变换得到融合图像。采用基于双通道PCNN的融合规则，解决了PCNN参数设置复杂和计算时间长的问题。实验结果表明，该算法克服了传统多焦点图像融合算法的缺陷，提高了融合效果。
This paper presents a multi-focus image fusion algorithm based on dual-channel PCNN in NSCT domain. The fusion algorithm based on multi-scale transform is likely to produce the pseudo-Gibbs effects and it is not effective to fuse the dim or partial bright images. To solve these problems, this algorithm will get a number of different frequency sub-image of the two images by using the NSCT transform, the selection principles of different subband coefficients obtained by the NSCT decomposition are discussed in detail, and the images are fused based on the improved dual-channel PCNN in order to determine the band-pass sub-band coefficient, at last fused image is obtained by using the inverse NSCT transform. Fusion rules based on dual-channel PCNN are used to solve the complexity of the PCNN parameter settings and long computing time problems. The experimental results show that the algorithm has overcome the defects of the traditional multi-focus image fusion algorithm and improved the fusion effect.
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DOI：
--
发表时间：
2009
期刊：
Computer Engineering and Applications
影响因子：
--
作者：
W. Hongmei
通讯作者：
W. Hongmei
DOI：
10.1109/icacte.2010.5578948
发表时间：
2010-09
期刊：
2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)
影响因子：
--
作者：
Lai-gang Zhang;Zhonghui Wei;Xin He;Yan Zhang;G. Liang
通讯作者：
Lai-gang Zhang;Zhonghui Wei;Xin He;Yan Zhang;G. Liang
DOI：
10.1109/iccima.2003.1238117
发表时间：
2003-09
期刊：
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003
影响因子：
--
作者：
Li Ming;Wu Shunjun
通讯作者：
Li Ming;Wu Shunjun
使用 m-PCNN 进行医学图像融合
影响因子：
18.6
作者：
Wang, Zhaobin;Ma, Yide
通讯作者：
Ma, Yide
影响因子：
10.6
作者：
da Cunha, Arthur L.;Zhou, Jianping;Do, Minh N.
通讯作者：
Do, Minh N.