Results 11 to 20 of about 11,800,567 (295)
Loopy belief propagation and probabilistic image processing [PDF]
, 2003 Estimation of hyperparameters by maximization of the marginal likelihood in probabilistic image processing is investigated by using the cluster variation method.
Inoue, J., Tanaka, K., Titterington, M.
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Applied Sciences, 2023 Finger vein recognition has become a research hotspot in the field of biometrics due to its advantages of non-contact acquisition, unique information, and difficulty in terms of forging or pirating.
Ruoran Gao +4 more
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Frontiers in Neurology, 2020 Computerized pupillary light reflex assessment devices (CPLRADs) may serve as an effective screening tool for glaucomatous optic neuropathy, since they can dynamically detect abnormal pupillary responses from a novel sequence of light stimuli and ...
Lingge Suo +5 more
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SSIM-based sparse image restoration
Journal of King Saud University: Computer and Information Sciences, 2022 In this paper, we provide a sparse image restoration algorithm with a SSIM-based objective function. The proposed technique is a modification to the SSIM-inspired OMP (iOMP) and, and it has two parallel sparse restoration paths.
A.N. Omara +3 more
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An Edge-Directed Diffusion Equation-Based Image Restoration Approach for Font Generation
IEEE Access, 2023 The intelligent algorithms-based font generation has been a prevalent online application. In existing researches, visual communication effect of font generation results is usually neglected.
Mengnan Ding
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Active image restoration [PDF]
Physical Review E, 2018 We study active restoration of noise-corrupted images generated via the Gibbs probability of an Ising ferromagnet in external magnetic field. Ferromagnetism accounts for the prior expectation of data smoothness, i.e. a positive correlation between neighbouring pixels (Ising spins), while the magnetic field refers to the bias.
Rongrong Xie +3 more
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Mammographic image restoration using maximum entropy deconvolution [PDF]
, 2004 Bayesian maximum entropy method (MEM) has been applied to a radiological image deconvolution problem, that of reduction of geometric blurring in magnification mammography.
Birch, Ian +5 more
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Cross-Scale KNN Image Transformer for Image Restoration
IEEE Access, 2023 Numerous image restoration approaches have been proposed based on attention mechanism, achieving superior performance to convolutional neural networks (CNNs) based counterparts.
Hunsang Lee +3 more
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Minimum entropy restoration using FPGAs and high-level techniques [PDF]
, 2007 One of the greatest perceived barriers to the widespread use of FPGAs in image processing is the difficulty for application specialists of developing algorithms on reconfigurable hardware. Minimum entropy deconvolution (MED) techniques have been shown to
Bruce, R. +3 more
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A Partial Differential Equation-Based Image Restoration Method in Environmental Art Design
Advances in Mathematical Physics, 2021 With the rapid development of networks and the emergence of various devices, images have become the main form of information transmission in real life. Image restoration, as an important branch of image processing, can be applied to real-life situations ...
Chen Li
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