Transformer based conditional GAN for multimodal image fusion
Multimodal Image fusion is becoming urgent in multi-sensor information utilization. However,
existing end-to-end image fusion frameworks ignore a priori knowledge integration and long …
existing end-to-end image fusion frameworks ignore a priori knowledge integration and long …
Imbalanced bearing fault diagnosis based on RFH-GAN and PSA-DRSN
Bearings in actual working environments typically operate in healthy conditions, resulting in
an imbalance in the data collected data. The majority of the collected data are related to …
an imbalance in the data collected data. The majority of the collected data are related to …
[HTML][HTML] CT and MRI image fusion via coupled feature-learning GAN
The fusion of multimodal medical images, particularly CT and MRI, is driven by the need to
enhance the diagnostic process by providing clinicians with a single, comprehensive image …
enhance the diagnostic process by providing clinicians with a single, comprehensive image …
Multi-focused image fusion algorithm based on multi-scale hybrid attention residual network
T Liu, M Chen, Z Duan, A Cui - Plos one, 2024 - journals.plos.org
In order to improve the detection performance of image fusion in focus areas and realize end-
to-end decision diagram optimization, we design a multi-focus image fusion network based …
to-end decision diagram optimization, we design a multi-focus image fusion network based …
Multi-focus image fusion via adaptive fractional differential and guided filtering
X Li, H Chen, Y Li, Y Peng - Multimedia Tools and Applications, 2024 - Springer
The goal of multi-focus image fusion is to make an image that is all-in-focus with a finite
depth of field. Although multi-focus image fusion algorithms have advanced significantly, it is …
depth of field. Although multi-focus image fusion algorithms have advanced significantly, it is …
From Feature Similarity to Focus Similarity: a Classification-Learning Based Multi-Focus Image Fusion Quality Assessment Method
Y Hu, X Chen, Y Gao, B Zhang, C Hao… - 2023 IEEE 11th Joint …, 2023 - ieeexplore.ieee.org
Albeit great success has been achieved in image fusion research, Fusion Image Quality
Assessment (FIQA) is a still puzzling problem to be solved. In this paper, Deep learning (DL) …
Assessment (FIQA) is a still puzzling problem to be solved. In this paper, Deep learning (DL) …
Research on fusion algorithm of infrared and visible image based on generative adversarial network and attention mechanism
X Chen, J Dai, DZ Jin, T Chen - … International Conference on …, 2023 - spiedigitallibrary.org
Generative adversarial network was proposed in 2014, and its core is a two-person zero-
sum game, which improves the quality of generated images through the mutual game …
sum game, which improves the quality of generated images through the mutual game …