Results 31 to 40 of about 12,292,225 (304)
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
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Image reconstruction by linear programming [PDF]
IEEE Transactions on Image Processing, 2005 One way of image denoising is to project a noisy image to the subspace of admissible images derived, for instance, by PCA. However, a major drawback of this method is that all pixels are updated by the projection, even when only a few pixels are corrupted by noise or occlusion.
Koji Tsuda, Gunnar Rätsch
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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 +6 more
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Image-to-Image MLP-mixer for Image Reconstruction
CoRR, 2022 Neural networks are highly effective tools for image reconstruction problems such as denoising and compressive sensing. To date, neural networks for image reconstruction are almost exclusively convolutional. The most popular architecture is the U-Net, a convolutional network with a multi-resolution architecture.
Youssef Mansour +2 more
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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
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Bilevel Methods for Image Reconstruction
Foundations and Trends® in Signal Processing, 2022 This review discusses methods for learning parameters for image reconstruction problems using bilevel formulations.Image reconstruction typically involves optimizing a cost function to recover a vector of unknown variables that agrees with collected measurements and prior assumptions.
Caroline Crockett, Jeffrey A. Fessler
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Simulation of 3D Image Reconstruction in Rigid body Motion
MATEC Web of Conferences, 2018 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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Sensors, 2018 Electrical Capacitance Tomography (ECT) image reconstruction has developed for decades and made great achievements, but there is still a need to find a new theoretical framework to make it better and faster.
Jin Zheng, Jinku Li, Yi Li, Lihui Peng
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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 +3 more
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Computational Imaging for VLBI Image Reconstruction [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 Accepted for publication at CVPR 2016, Project Website: http://vlbiimaging.csail.mit.edu/, Video of Oral Presentation at CVPR June 2016: https://www.youtube.com/watch?v ...
Katherine L. Bouman +5 more
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