Results 11 to 20 of about 511,982 (176)
Block-Attentive Subpixel Prediction Networks for Computationally Efficient Image Restoration
Image restoration based on the Deep Convolutional Neural Network (CNN) based image restoration has demonstrated promising results in many sub-tasks, such as image super-resolution, compression artifacts removal, image denoising, and image enhancement ...
Taeoh Kim +3 more
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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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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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An Edge-Directed Diffusion Equation-Based Image Restoration Approach for Font Generation
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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SSIM-based sparse image restoration
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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Application of the quantum spin glass theory to image restoration [PDF]
Quantum fluctuation is introduced into the Markov random fields (MRF's) model for image restoration in the context of Bayesian approach. We investigate the dependence of the quantum fluctuation on the quality of BW image restoration by making use of ...
A.J. Bray +11 more
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A Partial Differential Equation-Based Image Restoration Method in Environmental Art Design
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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Cross-Scale KNN Image Transformer for Image Restoration
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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Digital image processing of the Ghent altarpiece : supporting the painting's study and conservation treatment [PDF]
In this article, we show progress in certain image processing techniques that can support the physical restoration of the painting, its art-historical analysis, or both.
Cornelis, Bruno +9 more
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TEM image restoration from fast image streams.
Microscopy imaging experiments generate vast amounts of data, and there is a high demand for smart acquisition and analysis methods. This is especially true for transmission electron microscopy (TEM) where terabytes of data are produced if imaging a full
Håkan Wieslander +2 more
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