Fusion of visible and thermal images improves automated detection and classification of animals for drone surveys
Visible and thermal images acquired from drones (unoccupied aircraft systems) have
substantially improved animal monitoring. Combining complementary information from both …
substantially improved animal monitoring. Combining complementary information from both …
A novel fusion method based on dynamic threshold neural P systems and nonsubsampled contourlet transform for multi-modality medical images
Dynamic threshold neural P systems (DTNP systems) are a distributed parallel computing
model with an interesting mechanism involving the cooperative spiking of neurons in a local …
model with an interesting mechanism involving the cooperative spiking of neurons in a local …
Multimodal sensor medical image fusion based on type-2 fuzzy logic in NSCT domain
Multimodal medical image fusion plays a vital role in different clinical imaging sensor
applications. This paper presents a novel multimodal medical image fusion method that …
applications. This paper presents a novel multimodal medical image fusion method that …
[HTML][HTML] Multimodal image fusion via coupled feature learning
This paper presents a multimodal image fusion method using a novel decomposition model
based on coupled dictionary learning. The proposed method is general and can be used for …
based on coupled dictionary learning. The proposed method is general and can be used for …
From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications
Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
Union Laplacian pyramid with multiple features for medical image fusion
J Du, W Li, B Xiao, Q Nawaz - Neurocomputing, 2016 - Elsevier
The Laplacian pyramid has been widely used for decomposing images into multiple scales.
However, the Laplacian pyramid is believed as being unable to represent outline and …
However, the Laplacian pyramid is believed as being unable to represent outline and …
Multi-modality medical image fusion using convolutional neural network and contrast pyramid
K Wang, M Zheng, H Wei, G Qi, Y Li - Sensors, 2020 - mdpi.com
Medical image fusion techniques can fuse medical images from different morphologies to
make the medical diagnosis more reliable and accurate, which play an increasingly …
make the medical diagnosis more reliable and accurate, which play an increasingly …
Multi-focus image fusion with deep residual learning and focus property detection
Multi-focus image fusion methods can be mainly divided into two categories: transform
domain methods and spatial domain methods. Recent emerged deep learning (DL)-based …
domain methods and spatial domain methods. Recent emerged deep learning (DL)-based …
Heterogeneous knowledge distillation for simultaneous infrared-visible image fusion and super-resolution
W Xiao, Y Zhang, H Wang, F Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, infrared–visible image fusion has attracted more and more attention, and
numerous excellent methods in this field have emerged. However, when the low-resolution …
numerous excellent methods in this field have emerged. However, when the low-resolution …
Image segmentation-based multi-focus image fusion through multi-scale convolutional neural network
C Du, S Gao - IEEE access, 2017 - ieeexplore.ieee.org
A decision map contains complete and clear information about the image to be fused, and
detecting the decision map is crucial to various image fusion issues, especially multi-focus …
detecting the decision map is crucial to various image fusion issues, especially multi-focus …