Results 11 to 20 of about 30,721 (259)
Super-resolution reconstruction based on two-stage residual neural network
Machine Learning with Applications, 2021 With the constant update of deep learning technology, the super-resolution reconstruction technology based on deep learning has also attained a significant breakthrough. This paper primarily discusses the integration of deep learning and super-resolution
Lin Dong, Kohei Inoue
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Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging
Bioengineering, 2023 Magnetic resonance (MR) image reconstruction and super-resolution are two prominent techniques to restore high-quality images from undersampled or low-resolution k-space data to accelerate MR imaging. Combining undersampled and low-resolution acquisition
Wei Xu +6 more
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Texture super-resolution for 3D reconstruction [PDF]
2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), 2017 We describe a method for producing a high quality texture atlas for 3D models by fully exploiting the information contained in dense video sequences via super-resolution techniques. The intrinsic precision limitations of multi-view reconstruction techniques are analyzed and overcome.
Calum Burns +2 more
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Iterative Back Projection Network Based on Deformable 3D Convolution
IEEE Access, 2023 Video super-resolution technology enhances the display quality of videos by obtaining high-resolution videos from low-resolution videos. Unlike single-image super-resolution, utilizing information between adjacent video frames is crucial in video super ...
Chengzhi Luo, Bing Li, Feng Liu
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3D MRI Reconstruction Based on 2D Generative Adversarial Network Super-Resolution
Sensors, 2021 The diagnosis of brain pathologies usually involves imaging to analyze the condition of the brain. Magnetic resonance imaging (MRI) technology is widely used in brain disorder diagnosis.
Hongtao Zhang +2 more
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Super-resolution wavefront reconstruction
Astronomy & Astrophysics, 2022 Context.Cutting-edge, ground-based astronomical instruments are fed by adaptive optics (AO) systems that are aimed at providing high performance down to the visible wavelength domain on 10 m class telescopes and in the near infrared for the first generation instruments of Extremely Large Telescopes (ELTs).
Sylvain Oberti +4 more
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Guaranteed reconstruction for image super-resolution [PDF]
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013 This paper presents a new reconstruction operator to be used in a super-resolution scheme. Here, by reconstruction in super-resolution, we mean the back-projection operation, i.e. the way K low resolution (LR) images are aggregated to obtain a smooth high resolution (HR) image.
Graba, Farès +3 more
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mapSR: A Deep Neural Network for Super-Resolution of Raster Map
ISPRS International Journal of Geo-Information, 2023 The purpose of multisource map super-resolution is to reconstruct high-resolution maps based on low-resolution maps, which is valuable for content-based map tasks such as map recognition and classification.
Honghao Li, Xiran Zhou, Zhigang Yan
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Super-resolution reconstruction for tongue MR images [PDF]
SPIE Proceedings, 2012 Magnetic resonance (MR) images of the tongue have been used in both clinical medicine and scientific research to reveal tongue structure and motion. In order to see different features of the tongue and its relation to the vocal tract it is beneficial to acquire three orthogonal image stacks-e.g., axial, sagittal and coronal volumes.
Jonghye Woo +5 more
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NeuroImage, 2021 Diffusion MRI (dMRI) can probe the tissue microstructure but suffers from low signal-to-noise ratio (SNR) whenever high resolution is combined with high diffusion encoding strengths.
Geraline Vis +3 more
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