Results 41 to 50 of about 1,008,663 (311)
Image reconstruction in optical interferometry: Benchmarking the regularization [PDF]
With the advent of infrared long-baseline interferometers with more than two telescopes, both the size and the completeness of interferometric data sets have significantly increased, allowing images based on models with no a priori assumptions to be ...
Besnerais+27 more
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Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography
Iterative image reconstruction algorithms for optoacoustic tomography (OAT), also known as photoacoustic tomography, have the ability to improve image quality over analytic algorithms due to their ability to incorporate accurate models of the imaging ...
Alexander A Oraevsky+9 more
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Simulation of 3D Image Reconstruction in Rigid body Motion
3D image reconstruction under rigid body motion is affected by rigid body motion and visual displacement factors, which leads to low quality of 3D image reconstruction and more noise, in order to improve the quality of 3D image reconstruction of rigid ...
Chen Huihong, Li Shiming
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A Review of GAN-Based Super-Resolution Reconstruction for Optical Remote Sensing Images
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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Considering the non-uniqueness and instability of concrete defect detection in construction engineering, ultrasonic time of flight data and maximum likelihood expectation maximization algorithm were proposed to improve the readability of the ultrasonic ...
Honghui Fan, Hongjin Zhu
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On global randomized block Kaczmarz method for image reconstruction
Image reconstruction represents an important technique applied in various fields such as medicine, biology, materials science, nondestructive testing, and so forth.
Ranran Li, Hao Liu
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In CT image reconstruction, the limited angle problem is an ill-posed problem. To solve this ill-posed problem, the total variation (TV) regularization has been widely used in image reconstruction. In recent years, an algorithm based on TV regularization
Fulin Luo+3 more
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Single Image Super-Resolution Reconstruction with Preservation of Structure and Texture Details
In recent years, deep-learning-based single image super-resolution reconstruction has achieved good performance. However, most existing methods pursue a high peak signal-to-noise ratio (PSNR), while ignoring the quality of the structure and texture ...
Yafei Zhang+4 more
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The development of computed tomography (CT) image reconstruction methods that significantly reduce patient radiation exposure while maintaining high image quality is an important area of research in low-dose CT (LDCT) imaging.
Fessler, Jeffrey A.+3 more
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Imaging ACL reconstructions and their complications
Examination of ligament reconstructions, particularly of the anterior cruciate ligament (ACL), are common situations in everyday knee imaging practice. Knowledge of normal appearances, the expected changes over time and the potential complications of these plasties are essential. MRI is the imaging method of choice.
Kulczycka, Pola+5 more
openaire +4 more sources