陈淼, 张力沛, 赵鑫. 基于非负矩阵分解和SFIM的图像融合算法[J]. 微电子学与计算机, 2017, 34(9): 126-128.
引用本文: 陈淼, 张力沛, 赵鑫. 基于非负矩阵分解和SFIM的图像融合算法[J]. 微电子学与计算机, 2017, 34(9): 126-128.
CHEN Miao, ZHANG Li-pei, ZHAO Xin. Image Fusion Algorithm Based on NMF and SFIM Algorithm[J]. Microelectronics & Computer, 2017, 34(9): 126-128.
Citation: CHEN Miao, ZHANG Li-pei, ZHAO Xin. Image Fusion Algorithm Based on NMF and SFIM Algorithm[J]. Microelectronics & Computer, 2017, 34(9): 126-128.

基于非负矩阵分解和SFIM的图像融合算法

Image Fusion Algorithm Based on NMF and SFIM Algorithm

  • 摘要: 提出了一种结合非负矩阵分解和SFIM算法的图像融合方法.该方法通过非负矩阵分解获得多光谱图像的亮度分量, 然后利用SFIM算法融合图像.实验结果表明该方法能很好地提取亮度分量, 在图像空间细节以及光谱保持方面提高了融合结果.

     

    Abstract: This paper puts forward the approach combined with the non-negative matrix factorization (NMF) and smoothing-filter-based intensity modulation (SFIM). This approach extracts the brightness component using NMF and fuses images with SFIM.The experimental results show that the approach can extract the brightness component andimprove the details of the space injection or spectrum.

     

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