Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation
Sign Up to like & getrecommendations! Published in 2019 at "Medical image analysis"
DOI: 10.1016/j.media.2019.04.010
Abstract: Magnetic resonance images of neonates, compared with toddlers, exhibit lower signal-to-noise ratio and spatial resolution. In this paper, we propose a novel method for super-resolution reconstruction of neonate images with the help of toddler images,… read more here.
Keywords: resolution; resolution reconstruction; layer; super resolution ... See more keywords
Diffusion MRI super-resolution reconstruction via sub-pixel convolution generative adversarial network.
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2022.02.001
Abstract: To solve the problem of long sampling time for diffusion magnetic resonance imaging (dMRI), in this study we propose a dMRI super-resolution reconstruction network. This method not only uses a three-dimensional (3D) convolution kernel to… read more here.
Keywords: reconstruction; diffusion; resolution reconstruction; convolution ... See more keywords
Dual-branch feature encoding framework for infrared images super-resolution reconstruction
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-60238-9
Abstract: Infrared thermal imaging is a passive non-contact detection and identification technology, which is not subject to electromagnetic infection and good concealment, is widely used in military and commercial fields. However, due to the limitations of… read more here.
Keywords: framework infrared; reconstruction; infrared images; resolution ... See more keywords
Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-86446-5
Abstract: To enhance high-frequency perceptual information and texture details in remote sensing images and address the challenges of super-resolution reconstruction algorithms during training, particularly the issue of missing details, this paper proposes an improved remote sensing… read more here.
Keywords: image; remote sensing; resolution; resolution reconstruction ... See more keywords
A conditional deep learning model for super-resolution reconstruction of small-scale turbulent structures in particle-Laden flows
Sign Up to like & getrecommendations! Published in 2024 at "Physics of Fluids"
DOI: 10.1063/5.0235192
Abstract: Super-resolution reconstruction of turbulent flows using deep learning has gained significant attention, yet challenges remain in accurately capturing physical small-scale structures. This study introduces the Conditional Enhanced Super-Resolution Generative Adversarial Network (CESRGAN) for reconstructing high-resolution… read more here.
Keywords: small scale; cogen; resolution; resolution reconstruction ... See more keywords
Super-Resolution Reconstruction of Cell Images Based on Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3402535
Abstract: In this study, we introduce Light-ESRGAN, a novel cellular image super-resolution reconstruction model utilizing Generative Adversarial Networks (GANs). High-resolution (HR) cellular images are pivotal in pathological research; however, how to caputer critical features such as… read more here.
Keywords: adversarial networks; resolution; resolution reconstruction; generative adversarial ... See more keywords
High-Precision and Fast BOTDA Sensing Based on Super-Resolution Reconstruction Assistance
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3581796
Abstract: The sensing performance of the Brillouin optical time-domain analysis (BOTDA) is typically limited by the frequency sweep interval, average times of time-domain trace, and the accuracy and efficiency of Brillouin frequency shift (BFS) extraction. To… read more here.
Keywords: reconstruction assistance; time; reconstruction; resolution ... See more keywords
High-Resolution Reconstruction of FMT Based on Elastic Net Optimized by Relaxed ADMM
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3190049
Abstract: Fluorescence Molecular Tomography (FMT), providing thethree-dimensional fluorescent distribution information of specific molecular probes in tumors, is widely applied to detect in vivo tumors. However, the ill-posedness of reconstruction greatly affects the resolution of FMT. Traditional… read more here.
Keywords: fmt; resolution reconstruction; high resolution; resolution ... See more keywords
SHBGAN: Hybrid Bilateral Attention GAN for Seismic Image Super-Resolution Reconstruction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3492142
Abstract: The super-resolution reconstruction for seismic images obtained by multistep processing of field data is essential due to the noise contamination, sparse geometry, and low dominant frequency of events, which impairs the subsequent seismic interpretation. Deep… read more here.
Keywords: bilateral attention; resolution; resolution reconstruction; hybrid bilateral ... See more keywords
Unsupervised super-resolution reconstruction of hyperspectral histology images for whole-slide imaging (Errata)
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biomedical Optics"
DOI: 10.1117/1.jbo.27.5.059801
Abstract: Abstract. Corrections to the published article include values in Table 1 and provision of an omitted reference. read more here.
Keywords: super resolution; resolution reconstruction; hyperspectral histology; reconstruction hyperspectral ... See more keywords
Super-resolution reconstruction of remote sensing images based on multi-scale residual networks
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.33.6.063010
Abstract: Abstract. Because the reconstructed images of existing remote sensing image super-resolution algorithms have problems such as lack of texture information and loss of high-frequency details, we propose a remote sensing image super-resolution reconstruction algorithm based… read more here.
Keywords: remote sensing; super resolution; model; resolution reconstruction ... See more keywords