A novel algorithm of remote sensing image fusion based on Shearlets and PCNN

A novel algorithm of remote sensing image fusion based on Shearlets and PCNN
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基于Shearlets和PCNN的遥感图像融合新算法

DOI:
10.1016/j.neucom.2012.10.025
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发表时间:
2013-10
期刊:
影响因子:
6
通讯作者:
Xu Pengfei
Xu Pengfei
中科院分区:
计算机科学2区
文献类型:
--
作者:
Shi Cheng;Miao Qiguang;Xu Pengfei

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Shearlet于2005年提出。Shearlet具有灵活的方向特性和类似小波的多分辨率结构,在图像处理中的应用不断发展。提出了一种基于Shearlets和PCNN的图像融合新算法。剪切矩阵用于将源图像分解成多个方向。对每个方向提取梯度特征,利用小波进行多尺度分解,对高频系数采用PCNN进行融合。实验结果表明,该算法对图像融合是有效的.
Shearlet was proposed in 2005. With flexible direction features and a multi-resolution structure which is similar to wavelet, the application of Shearlet in image processing has been developing. In this paper, based on Shearlets and PCNN, a new algorithm of image fusion is proposed. A shear matrix is used to decompose the source images into several directions. To each direction, we extract the gradient characteristics, make multi-scale decomposition using wavelet, and fuse the high frequency coefficients using PCNN. Experiments show that the algorithm we proposed is effective to image fusion.
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