Multi-scale attention-based lightweight network with dilated convolutions for infrared and visible image fusion
F Li, Y Zhou, YL Chen, J Li, ZC Dong, M Tan - Complex & Intelligent …, 2024 - Springer
Infrared and visible image fusion aims to generate synthetic images including salient targets
and abundant texture details. However, traditional techniques and recent deep learning …
and abundant texture details. However, traditional techniques and recent deep learning …
SBIT-Fuse: Infrared and visible image fusion based on Symmetrical Bilateral interaction and Transformer
B Li, J Lu, Z Liu, Z Shao, C Li, X Liu, J Zhang… - Infrared Physics & …, 2024 - Elsevier
Infrared and visible image fusion, as a typical image enhancement task, aims to generate an
image containing complementary information. Existing deep learning-based methods …
image containing complementary information. Existing deep learning-based methods …
[HTML][HTML] Hyperspectral Image Denoising and Compression Using Optimized Bidirectional Gated Recurrent Unit
D Mohan, S Rajendran - Remote Sensing, 2024 - mdpi.com
The availability of a higher resolution fine spectral bandwidth in hyperspectral images (HSI)
makes it easier to identify objects of interest in them. The inclusion of noise into the resulting …
makes it easier to identify objects of interest in them. The inclusion of noise into the resulting …
TCFusion: A Three-branch Cross-domain Fusion Network for Infrared and Visible Images
W Shao, H Liu - Proceedings of the 6th ACM International Conference …, 2024 - dl.acm.org
Current deep learning-based infrared and visible image fusion methods typically extract
features in the spatial domain, ignoring the global representation in the frequency domain …
features in the spatial domain, ignoring the global representation in the frequency domain …
Hybrid Multimodal Medical Images Fusion Combining MWGF with DC Coefficient Scaling and Pixel Level Wavelet Fusion
A Kesharwani, K Singh… - … Intelligence, Networks and …, 2023 - ieeexplore.ieee.org
Color medical images from multiple modalities need to be fused to provide a more
informative representation for detailed diagnosis. Individual fusion methods are inefficient …
informative representation for detailed diagnosis. Individual fusion methods are inefficient …
Advancements In Multi-Modality Medical Image Fusion: A Comprehensive Review
A Kesharwani, K Singh… - International Journal of …, 2024 - ijirem.irpublications.org
Multimodality medical image fusion involves the amalgamation of multiple images acquired
through single or multiple imaging modalities. The purpose of medical image fusion …
through single or multiple imaging modalities. The purpose of medical image fusion …