Results 21 to 30 of about 1,053,214 (335)
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.
Tsuda, K., Rätsch, G.
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Kernel-based Image Reconstruction from Scattered Radon Data [PDF]
, 2016 Computerized tomography requires suitable numerical methods for the approximation of a bivariate function f from a finite set of discrete Radon data, each of whose data samples represents one line integral of f .
DE MARCHI, Stefano +2 more
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Psicooncologia, 2019 Aim: Analyze Body Image and its influence on Quality of Life in women who have undergone mastectomy as part of the treatment for breast cancer, with immediate reconstruction, delayed reconstruction or mastectomy without breast reconstruction. Method: The
Andrea Cecilia Gargantini Gargantini +1 more
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Research on Image Reconstruction of Compressed Sensing Based on a Multi-Feature Residual Network
Sensors, 2020 In order to solve the problem of how to quickly and accurately obtain crop images during crop growth monitoring, this paper proposes a deep compressed sensing image reconstruction method based on a multi-feature residual network.
Ruili Nan +3 more
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Guided Image Filtering Reconstruction Based on Total Variation and Prior Image for Limited-Angle CT
IEEE Access, 2020 For limited-angle computed tomography (CT) image reconstruction, the classical total variation (TV) based algorithms suffer from the limited-angle artifacts, because TV only used the gradient information of the image.
Zhaoqiang Shen +3 more
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Acoustic Reconstruction for Photothermal Imaging [PDF]
Bioengineering, 2018 Pulsed illumination of a sample, e.g., of a biological tissue, causes a sudden temperature increase of light absorbing structures, such as blood vessels, which results in an outgoing acoustic wave, as well as heat diffusion, of the absorbed energy. Both of the signals, pressure and temperature, can be measured at the sample surface and are used to ...
Peter Burgholzer +2 more
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3D ultrasound image reconstruction based on VTK [PDF]
, 2010 Three dimensional (3D) ultrasound image reconstruction based on two dimensional (2D) images has become a famous method for analyzing some anatomy related to abnormalities.
Eko, S., Hafizah, W. M., Tan, K
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Stability of Image-Reconstruction Algorithms
IEEE Transactions on Computational Imaging, 2023 Robustness and stability of image-reconstruction algorithms have recently come under scrutiny. Their importance to medical imaging cannot be overstated. We review the known results for the topical variational regularization strategies ($\ell_2$ and $\ell_1$ regularization) and present novel stability results for $\ell_p$-regularized linear inverse ...
Pol del Aguila Pla +2 more
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Journal of Integrative Neuroscience, 2021 To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative ...
Chuluunbaatar Otgonbaatar +5 more
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Reconstruction of Gray-Scale Images [PDF]
Methodology And Computing In Applied Probability, 2001 Reconstruction of images corrupted by noise is an important problem in Image Analysis. In the standard Bayesian approach the unknown original image is assumed to be a realization of a Markov random field on a finite two dimensional finite region.
Pablo A. Ferrari +2 more
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