Feature transfer method for infrared and visible image fusion via fuzzy lifting scheme

2021 ◽  
Vol 114 ◽  
pp. 103621
Author(s):  
Liyang Dai ◽  
Gang Liu ◽  
Lei Huang ◽  
Gang Xiao ◽  
Zhao Xu ◽  
...  
Keyword(s):  
Image Fusion ◽  
Lifting Scheme ◽  
Visible Image ◽  
Transfer Method

Infrared and Visible Image Fusion Based on Deep Decomposition Network and Saliency Analysis

2021 ◽  
pp. 1-1
Author(s):  
Lihua Jian ◽  
Rakiba Rayhana ◽  
Ling Ma ◽  
Shaowu Wu ◽  
Zheng Liu ◽  
...  
Keyword(s):  
Image Fusion ◽  
Visible Image ◽  
Saliency Analysis

scholarly journals Infrared and visible image fusion via octave Gaussian pyramid framework

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Yan ◽  
Qun Hao ◽  
Jie Cao ◽  
Rizvi Saad ◽  
Kun Li ◽  
...  
Keyword(s):  
Image Fusion ◽  
Low Frequency ◽  
Objective Evaluation ◽  
Visible Image ◽  
Composite Image ◽  
Multiscale Decomposition ◽  
Gaussian Pyramid ◽  
Fusion Methods ◽  
Scale Spaces ◽  
Fusion Framework

AbstractImage fusion integrates information from multiple images (of the same scene) to generate a (more informative) composite image suitable for human and computer vision perception. The method based on multiscale decomposition is one of the commonly fusion methods. In this study, a new fusion framework based on the octave Gaussian pyramid principle is proposed. In comparison with conventional multiscale decomposition, the proposed octave Gaussian pyramid framework retrieves more information by decomposing an image into two scale spaces (octave and interval spaces). Different from traditional multiscale decomposition with one set of detail and base layers, the proposed method decomposes an image into multiple sets of detail and base layers, and it efficiently retains high- and low-frequency information from the original image. The qualitative and quantitative comparison with five existing methods (on publicly available image databases) demonstrate that the proposed method has better visual effects and scores the highest in objective evaluation.

scholarly journals Blur Regional Features Based Infrared And Visible Image Fusion Using An Improved C3Net Model

2021 ◽  
Vol 1820 (1) ◽  
pp. 012169
Author(s):  
Zhao Xu ◽  
Gang Liu ◽  
Li Li Tang ◽  
Yan Hui Li
Keyword(s):  
Image Fusion ◽  
Visible Image ◽  
Regional Features

scholarly journals Airborne Infrared and Visible Image Fusion Combined with Region Segmentation

Sensors ◽  
2017 ◽  
Vol 17 (5) ◽  
pp. 1127 ◽  
Author(s):  
Yujia Zuo ◽  
Jinghong Liu ◽  
Guanbing Bai ◽  
Xuan Wang ◽  
Mingchao Sun
Keyword(s):  
Image Fusion ◽  
Visible Image ◽  
Region Segmentation

Infrared and visible image fusion algorithm based on multi-scale transform

2021 ◽  
Author(s):  
ChengXiang Liu ◽  
LiXia Du ◽  
RuiHong Liu
Keyword(s):  
Image Fusion ◽  
Fusion Algorithm ◽  
Visible Image ◽  
Multi Scale

UNFusion: A unified multi-scale densely connected network for infrared and visible image fusion

2021 ◽  
pp. 1-1
Author(s):  
Zhishe Wang ◽  
Junyao Wang ◽  
Yuanyuan Wu ◽  
Jiawei Xu ◽  
Xiaoqin Zhang
Keyword(s):  
Image Fusion ◽  
Visible Image ◽  
Connected Network ◽  
Multi Scale
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