Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength-Reference-Cited by-同舟云学术

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Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength

Published:2018-10 Issue: Volume:310 Page:135-147
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Cheng Boyang,Jin Longxu,Li Guoning

Funder

National High-tech R&D Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference35 articles.

1. Morphological center operator based infrared and visible image fusion through correlation coefficient;Bai;Infrared Phys. Technol.,2016

2. Fusion of visible and infrared images using global entropy and gradient constrained regularization;Zhao;Infrared Phys. Technol.,2017

3. Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review;Zhang;Inf. Fusion,2018

4. Image fusion with saliency map and interest points;Meng;Neurocomputing,2016

5. A general framework for image fusion based on multi-scale transform and sparse representation;Liu;Inf. Fusion,2015

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1. Research on fractional wavelet transform combined with parameter adaptive PCNN for infrared and visible image fusion algorithm;Optics Communications;2024-12

2. NSMT: A Novel Non-subsampled Morphological Transform Fusion Algorithm for Infrared–Visible Images;Circuits, Systems, and Signal Processing;2023-10-09

3. Infrared and visible image fusion based on NSST and phase consistency adaptive DUAL channel PCNN;Infrared Physics & Technology;2023-06

4. Heterogenous image fusion model with SR-dual-channel PCNN significance region for NSST in an apple orchard;Applied Intelligence;2023-05-30

5. An improved hybrid multiscale fusion algorithm based on NSST for infrared–visible images;The Visual Computer;2023-04-03

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