Infrared and visible image fusion based on contrast enhancement guided filter and infrared feature decomposition-Reference-Cited by-同舟云学术

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Infrared and visible image fusion based on contrast enhancement guided filter and infrared feature decomposition

Published:2022-12 Issue: Volume:127 Page:104404
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Zhang Bozhi,Gao Meijing,Chen Pan,Shang Yucheng,Li Shiyu,Bai Yang,Liao Hongping,Liu Zehao,Li Zhilong

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference44 articles.

1. Dai Liyang, Liu Gang, Huang Lei et al. Feature transfer method for infrared and visible image fusion via fuzzy lifting scheme. Infrared Phys. Technol. (2021) (pre-publish).

2. Infrared and visible image fusion via detail preserving adversarial learning;Ma;Inf. Fusion,2020

3. Fusiongan: a generative adversarial network for infrared and visible image fusion;Ma;Inf. Fusion,2019

4. Binocular microlens imaging system based on micro fabrication technology and its application in vein-enhanced display;Di;Int. J. Optomechatronics,2019

5. Feature guided gaussian mixture model with semi-supervised em and local geometric constraint for retinal image registration;Ma;Inf. Sci.,2017

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1. Infrared and visible image fusion based on a two-stage fusion strategy and feature interaction block;Optics and Lasers in Engineering;2024-11

2. NSCT decomposition and VGG-Net based multimodal Infrared and Visible Image Fusion;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

3. SMC-SRGAN-Lightning super-resolution algorithm based on optical micro-scanning thermal microscope image;The Visual Computer;2024-01-22

4. IFICI: Infrared and visible image fusion based on interactive compensation illumination;Infrared Physics & Technology;2024-01

5. MLFFusion: Multi-level feature fusion network with region illumination retention for infrared and visible image fusion;Infrared Physics & Technology;2023-11

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