Results 11 to 20 of about 19,283,190 (228)
Kernel Estimation Using Total Variation Guided GAN for Image Super-Resolution [PDF]
Sensors, 2023 Various super-resolution (SR) kernels in the degradation model deteriorate the performance of the SR algorithms, showing unpleasant artifacts in the output images. Hence, SR kernel estimation has been studied to improve the SR performance in several ways
Jongeun Park, Hansol Kim, Moon Gi Kang
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CMOS Fixed Pattern Noise Elimination Based on Sparse Unidirectional Hybrid Total Variation [PDF]
Sensors, 2020 With the improvement of semiconductor technology, the performance of CMOS Image Sensor has been greatly improved, reaching the same level as that of CCD in dark current, linearity and readout noise. However, due to the production process, CMOS has higher
Tao Zhang +3 more
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TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module [PDF]
IEEE International Conference on Robotics and Automation, 2020 Semantic segmentation of point clouds is a key component of scene understanding for robotics and autonomous driving. In this paper, we introduce TORNADO-Net - a neural network for 3D LiDAR point cloud semantic segmentation.
Martin Gerdzhev +3 more
semanticscholar +1 more source
Tube-Based Taut String Algorithms for Total Variation Regularization
Mathematics, 2020 Removing noise from signals using total variation regularization is a challenging signal processing problem arising in many practical applications.
Artyom Makovetskii +3 more
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Directional Total Variation [PDF]
IEEE Signal Processing Letters, 2012 This paper introduces a “directional total variation” (TV) where the gradients are weighted depending on their direction. The introduced directional TV has increased (and tunable) sensitivity to variations at a selected direction. In order to demonstrate the utility of the directional TV, we consider an image denoising formulation.
Ilker Bayram, Mustafa E. Kamasak
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Total Variation as a Local Filter [PDF]
SIAM Journal on Imaging Sciences, 2011 In the Rudin-Osher-Fatemi (ROF) image denoising model, total variation (TV) is used as a global regularization term. However, as we observe, the local interactions induced by TV do not propagate much at long distances in practice, so that the ROF model is not far from being a local filter.
Louchet, Cécile, Moisan, Lionel
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Active Disturbance Rejection Control for Wind Turbine Fatigue Load
Energies, 2022 With the participation of wind power in grid frequency modulation, the fatigue load of the wind turbine increases accordingly. A new control method that considers both fatigue load and output power of wind turbine (WT) is proposed in this paper. A linear
Xingkang Jin +3 more
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Total roto-translational variation [PDF]
Numerische Mathematik, 2019 We consider curvature depending variational models for image regularization, such as Euler's elastica. These models are known to provide strong priors for the continuity of edges and hence have important applications in shape-and image processing. We consider a lifted convex representation of these models in the roto-translation space: In this space ...
Chambolle, Antonin, Pock, Thomas
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Continuous-Domain Formulation of Inverse Problems for Composite Sparse-Plus-Smooth Signals
IEEE Open Journal of Signal Processing, 2021 We present a novel framework for the reconstruction of 1D composite signals assumed to be a mixture of two additive components, one sparse and the other smooth, given a finite number of linear measurements.
Thomas Debarre +2 more
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Journal of Computational and Applied Mathematics, 2020 In this paper, we propose a novel model for remote sensing images destriping, which includes the Schatten 1 ∕ 2 -norm and the unidirectional first-order and high-order total variation regularization.
Jinghua Yang +5 more
semanticscholar +1 more source