FCFusion: Fractal Componentwise Modeling With Group Sparsity for Medical Image Fusion-Reference-Cited by-同舟云学术

FCFusion: Fractal Componentwise Modeling With Group Sparsity for Medical Image Fusion

Published:2022-12 Issue:12 Volume:18 Page:9141-9150
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Xu Guoxia¹^ORCID,Deng Xiaoxue²,Zhou Xiaokang³^ORCID,Pedersen Marius¹^ORCID,Cimmino Lucia⁴^ORCID,Wang Hao¹^ORCID

Affiliation:

1. Department of Computer Science, Norwegian University of Science and Technology, Gjøvik, Norway

2. Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing, China

3. Faculty of Data Science, Shiga University, Hikone, Japan

4. Department of Computer Science, University of Salerno, Fisciano, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9906876/09802930.pdf?arnumber=9802930

Reference41 articles.

1. Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration

2. IFCNN: A general image fusion framework based on convolutional neural network

3. Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation

4. Updating the Inverse of a Matrix

5. Weighted Group Sparsity Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Restoration

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