计算机工程与应用2011，Vol.47Issue(19)：176-178,3.DOI:10.3778/j.issn.1002-8331.2011.19.049
一种改进的PCNN 图像融合算法
Improved image fusion algorithm based on PCNN
郭传奇 1汪文革 2储彬彬3
作者信息
- 1. 解放军炮兵学院四系,合肥230031
- 2. 解放军炮兵学院二系,合肥230031
- 3. 解放军汽车管理学院,安徽蚌埠233011
- 折叠
摘要
Abstract
To overcome the defects of image fusion algorithm using Wavelet transform and simple fusion rules,an improved image fusion algorithm based on pulse coupled neural networks and non-subsampled Contourlet transform is put forward in this paper.The input registered images are decomposed by NSCT.The Contourlet domain coefficients in different scales and directions are fused by improved fusion rules based on PCNN.The fusion image is acquired by recomposing the fused coeffi-cients.Experiments show that this scheme has acquired promising results both in the subjective vision aspect and the objective assessment parameters.关键词
图像融合/多尺度几何分析/非下采样轮廓波变换/脉冲耦合神经网络Key words
image fusion/ Multiscale Geometric Analysis(MGA)/ nonsubsampled Contourlet transform/ Pulse Coupled Neural Networks(PCNN)分类
信息技术与安全科学引用本文复制引用
郭传奇,汪文革,储彬彬..一种改进的PCNN 图像融合算法[J].计算机工程与应用,2011,47(19):176-178,3.
