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Multimodal image fusion with adaptive joint sparsity model

Published:2019-02-21 Issue:01 Volume:28 Page:1
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Zhang Chengfang¹,Yi Liangzhong²,Feng Ziliang¹,Gao Zhisheng³,Jin Xin²,Yan Dan²

Affiliation:

1. Sichuan University, National Key Laboratory of Fundamental Science on Synthetic Vision, Chengdu

2. Sichuan Police College, Department of Computer Science and Technology, Luzhou

3. Xihua University, School of Computer and Software Engineering, Chengdu

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference37 articles.

1. Multi-focus image fusion using Content Adaptive Blurring

2. Multi-focus image fusion with a deep convolutional neural network

3. Texture clear multi-modal image fusion with joint sparsity model

4. Image Fusion With Convolutional Sparse Representation

5. Remote sensing image fusion via wavelet transform and sparse representation

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2. Joint coupled dictionaries-based visible-infrared image fusion method via texture preservation structure in sparse domain;Computer Vision and Image Understanding;2023-10

3. Low saliency crack detection based on improved multimodal object detection network: an example of wind turbine blade inner surface;Journal of Electronic Imaging;2023-06-24

4. A Novel Fusion Method Based on Online Convolutional Sparse Coding with Sample-Dependent Dictionary for Visible–Infrared Images;Arabian Journal for Science and Engineering;2023-02-28

5. Joint sparse model with coupled dictionary for medical image fusion;Biomedical Signal Processing and Control;2023-01

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