Multi-Focus Image Fusion Method Using Higher Order Singular Value Decomposition and Fuzzy Reasoning
Higher order singular value decomposition (HOSVD) is an efficient data-driven decomposition technique, and shows the salient ability in the representation of high-dimensional data and feature extraction. In addition, fuzzy reasoning can solve the uncertainties of the source images' contribution...
Main Authors: | Cuiying Zhang, Xiaoqing Luo, Zhancheng Zhang, Ruichao Gao, Xiaojun Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2015-09-01
|
Series: | Journal of Algorithms & Computational Technology |
Online Access: | https://doi.org/10.1260/1748-3018.9.3.303 |
Similar Items
-
Ensemble Learning via Higher Order Singular Value Decomposition for Integrating Data and Classifier Fusion in Water Quality Monitoring
by: Zhibin Sun, et al.
Published: (2021-01-01) -
Multi-Focus Color Image Fusion Based on Quaternion Multi-Scale Singular Value Decomposition
by: Hui Wan, et al.
Published: (2021-06-01) -
Efficient Higher-Order Singular Value Decomposition and Contour Integral Based Eigen Decomposition on CPU/GPU Cluster
by: Yu-Hsiang Tsai, et al.
Published: (2018) -
Image Fusion Using Quaternion Wavelet Transform and Multiple Features
by: Pengfei Chai, et al.
Published: (2017-01-01) -
An Online Method to Detect Urban Computing Outliers via Higher-Order Singular Value Decomposition
by: Thiago Souza, et al.
Published: (2019-10-01)