Results 41 to 50 of about 8,062,965 (379)

A Novel Blind Restoration and Reconstruction Approach for CT Images Based on Sparse Representation and Hierarchical Bayesian-MAP

Algorithms, 2019
Computed tomography (CT) image reconstruction and restoration are very important in medical image processing, and are associated together to be an inverse problem.
Yunshan Sun, Liyi Zhang, Yanqin Li, Juan Meng   +3 more
doaj   +1 more source

Overview of Underwater 3D Reconstruction Technology Based on Optical Images

Journal of Marine Science and Engineering, 2023
At present, 3D reconstruction technology is being gradually applied to underwater scenes and has become a hot research direction that is vital to human ocean exploration and development.
Kai Hu, Tianyan Wang, Chaowen Shen, Chenghang Weng, Fenghua Zhou, Min Xia, Liguo Weng   +6 more
doaj   +1 more source

Image reconstruction in optical interferometry: Benchmarking the regularization [PDF]

, 2011
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, Biraud, Candes, Charbonnier, Delplancke, Domiciano de Souza, E. Thiébaut, F. Malbet, Haubois, Hestroffer, Kraus, Kraus, Lawson, Le Bouquin, Malbet, Meimon, Monnier, Narayan, Pauls, Pearson, Pichon, Renard, S. Renard, Strong, Thiébaut, Titterington, Zhao, Zhao   +27 more
core   +1 more source

Phase recovery and holographic image reconstruction using deep learning in neural networks [PDF]

Light: Science & Applications, 2017
Phase recovery from intensity-only measurements forms the heart of coherent imaging techniques and holography. In this study, we demonstrate that a neural network can learn to perform phase recovery and holographic image reconstruction after appropriate ...
Y. Rivenson, Yibo Zhang, H. Gunaydin, Da Teng, A. Ozcan   +4 more
semanticscholar   +1 more source

Visualization of simulated small vessels on computed tomography using a model-based iterative reconstruction technique

Data in Brief, 2017
This article describes a quantitative evaluation of visualizing small vessels using several image reconstruction methods in computed tomography. Simulated vessels with diameters of 1–6 mm made by 3D printer was scanned using 320-row detector computed ...
Toru Higaki, Fuminari Tatsugami, Chikako Fujioka, Hiroaki Sakane, Yuko Nakamura, Yasutaka Baba, Makoto Iida, Kazuo Awai   +7 more
doaj   +1 more source

Virtual Reconstruction Method of Regional 3D Image Based on Visual Transmission Effect

Complexity, 2021
In order to solve the problems of poor user experience and low human-computer interaction efficiency, this paper designs a 3D image virtual reconstruction system based on visual communication effects.
Jing Yin, Jong Hoon Yang
doaj   +1 more source

High-density functional diffuse optical tomography based on frequency-domain measurements improves image quality and spatial resolution [PDF]

, 2019
Measurements of dynamic Near Infrared (NIR) light attenuation across the human head together with model-based image reconstruction algorithms allow the recovery of three-dimensional spatial brain activation maps.
Dehghani, Hamid, Doulgerakis, Matthaios, Eggebrecht, Adam T.   +2 more
core   +2 more sources

Serial Decoders-Based Auto-Encoders for Image Reconstruction

Applied Sciences, 2022
Auto-encoders are composed of coding and decoding units; hence, they hold an inherent potential of being used for high-performance data compression and signal-compressed sensing.
Honggui Li, Maria Trocan, Mohamad Sawan, Dimitri Galayko   +3 more
doaj   +1 more source

SwinIR: Image Restoration Using Swin Transformer [PDF]

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
Image restoration is a long-standing low-level vision problem that aims to restore high-quality images from low-quality images (e.g., downscaled, noisy and compressed images).
Jingyun Liang, Jie Cao, Guolei Sun, K. Zhang, L. Gool, Radu Timofte   +5 more
semanticscholar   +1 more source

Self-Guided Limited-Angle Computed Tomography Reconstruction Based on Anisotropic Relative Total Variation

IEEE Access, 2020
In some computed tomography (CT) applications, limited-angle projections are used for image reconstruction, and traditional reconstruction methods, such as filtered back-projection (FBP) or simultaneous algebraic reconstruction technique (SART), cannot ...
Changcheng Gong, Li Zeng
doaj   +1 more source