Results 1 to 10 of about 2,031,256 (167)
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
doaj +2 more sources
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
doaj +2 more sources
A Two-Staged Feature Extraction Method Based on Total Variation for Hyperspectral Images
Remote Sensing, 2022 Effective feature extraction (FE) has always been the focus of hyperspectral images (HSIs). For aerial remote-sensing HSIs processing and its land cover classification, in this article, an efficient two-staged hyperspectral FE method based on total ...
Chunchao Li +4 more
doaj +1 more source
Weighted and Well-Balanced Nonlinear TV-Based Time-Dependent Model for Image Denoising
Chaos Theory and Applications, 2023 The partial differential equation (PDE)-based models are widely used to remove additive Gaussian white noise and preserve edges, and one of the most widely used methods is the total variation denoising algorithm.
Khursheed Alam +2 more
doaj +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
doaj +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
doaj +1 more source
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
doaj +1 more source
Global Total Variation Minimization [PDF]
SIAM Journal on Numerical Analysis, 1999 Summary: The minimization of the total variation is an important tool of image processing. A lot of authors have addressed the problem and developed algorithms for image denoising. In this paper we present an alternative approach of the total variation minimization problem.
Dibos, Françoise, Koepfler, Georges
openaire +3 more sources