Results 21 to 30 of about 17,264,999 (251)
Recent Advances in X-Ray CT Image Reconstruction Techniques
Frontiers in Biomedical Technologies, 2019 No ...
Golshan Mahmoudi, Hossein Ghadiri
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A fast Bayesian reconstruction algorithm for emission tomography with entropy prior converging to feasible images [PDF]
, 1990 The development and tests of an iterative reconstruction algorithm for emission tomography based on Bayesian statistical concepts are described. The algorithm uses the entropy of the generated image as a prior distribution, can be accelerated by the ...
Núñez de Murga, Jorge, 1955- +1 more
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SensorsIn the task of integrated circuit micrograph acquisition, image super-resolution reconstruction technology can significantly enhance acquisition efficiency.
Tianyu Li +3 more
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ANALYSIS OF MOBILE LASER SCANNING DATA AND MULTI-VIEW IMAGE RECONSTRUCTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The combination of laser scanning (LS, active, direct 3D measurement of the object surface) and photogrammetry (high geometric and radiometric resolution) is widely applied for object reconstruction (e.g.
C. Briese +10 more
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Super-resolution reconstruction of brain magnetic resonance images via lightweight autoencoder
Informatics in Medicine Unlocked, 2021 Magnetic Resonance Imaging (MRI) is useful to provide detailed anatomical information such as images of tissues and organs within the body that are vital for quantitative image analysis. However, typically the MR images acquired lacks adequate resolution
J. Andrew +6 more
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A Review of GAN-Based Super-Resolution Reconstruction for Optical Remote Sensing Images
Remote Sensing, 2023 High-resolution images have a wide range of applications in image compression, remote sensing, medical imaging, public safety, and other fields. The primary objective of super-resolution reconstruction of images is to reconstruct a given low-resolution ...
Xuan Wang +3 more
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Remote SensingIn recent years, great progress has been made in the field of super-resolution (SR) reconstruction based on deep learning techniques. Although image SR techniques show strong potential in image reconstruction, the effective application of these ...
Mingqiang Guo +4 more
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Adjusting videoendoscopic 3D reconstruction results using tomographic data
Компьютерная оптика, 2022 Videoendoscopic and tomographic research are the two leading medical imaging solutions for detecting, classifying and characterizing a wide array of pathologies and conditions.
K.A. Halavataya +2 more
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Self-correction of 3D reconstruction from multi-view stereo images [PDF]
, 2009 We present a self-correction approach to improving the 3D reconstruction of a multi-view 3D photogrammetry system. The self-correction approach has been able to repair the reconstructed 3D surface damaged by depth discontinuities.
Ju, X +11 more
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Fourier Single-Pixel Imaging Based on Lateral Inhibition for Low-Contrast Scenes
IEEE Photonics Journal, 2019 A Fourier single-pixel imaging technique based on lateral inhibition is proposed to improve the reconstruction contrast and quality for low-contrast scenes.
Kaiyu Zhang +6 more
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