Semi-local Total Variation for Regularization of Inverse Problems [PDF]
, 2014 We propose the discrete semi-local total variation (SLTV) as a new regularization functional for inverse problems in imaging. The SLTV favors piecewise linear images; so the main drawback of the total variation (TV), its clustering effect, is avoided ...
Laurent Condat, Condat, Laurent
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Hybrid-Weighted Total Variation and Nonlocal Low-Rank-Based Image Compressed Sensing Reconstruction
IEEE Access, 2020 To reconstruct natural images from compressed sensing (CS) measurements accurately and effectively, a CS image reconstruction algorithm based on hybrid-weighted total variation (HWTV) and nonlocal low-rank (NLR) is proposed.
Hui Zhao +3 more
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Computed Tomography Reconstruction Algorithm Based on Relative Total Variation Minimization
CT Lilun yu yingyong yanjiu, 2023 The total variation (TV) minimization algorithm is an effective CT image reconstruction algorithm that can reconstruct sparse or noisy projection data with high accuracy. However, in some cases, the TV algorithm produces stepped artifacts.
Jiahao ZHANG, Zhiwei QIAO
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Denoising images corrupted by impulsive noise using projections onto the epigraph set of the total variation function (PES-TV) [PDF]
Signal, Image and Video Processing, 2015 In this article, a novel algorithm for denoising images corrupted by impulsive noise is presented. Impulsive noise generates pixels whose gray level values are not consistent with the neighboring pixels. The proposed denoising algorithm is a two-step procedure.
Mohammad Tofighi +2 more
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Video Super-resolution Reconstruction Algorithm Based on Total Variation Regularization
Chemical Engineering Transactions, 2015 A video super-resolution (SR) reconstruction algorithm based on total variation (TV) regularization is proposed in this paper. With the analysis of image degradation, the image formation model is introduced. Total variation method is chosen to regularize
L. Tang
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A Hybrid Regularization Operator and Its Application in Seismic Inversion
IEEE Access, 2021 Seismic inversion is an effective tool to estimate the properties of subsurface strata from seismograms. However, the intrinsic ill-posedness of the inversion problem causes the inverted subsurface properties to be easily polluted by inversion errors due
Yangting Liu +3 more
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The Effects of Total Variation (TV) Technique for Noise Reduction in Radio-Magnetic X-ray Image: Quantitative Study [PDF]
Journal of Magnetics, 2016 In order to reduce the amount of noise component in X-ray imaging system, various reduction techniques were frequently used in the field of diagnostic imaging. Although the previous techniques –such as median, Wiener filters and Anscombe noise reduction technique – were able to reduce the noise, the edge information was still damaged.
Kanghyen Seo +5 more
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BSGD-TV: A parallel algorithm solving total variation constrained image reconstruction problems
CoRR, 2018 in Proceedings of iTWIST'18, Paper-ID: <10>, Marseille, France, November, 21-23 ...
Yushan Gao, Thomas Blumensath
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Path-independent phase unwrapping using phase gradient and total-variation (TV) denoising
Optics Express, 2012 Phase unwrapping is a challenging task for interferometry based techniques in the presence of noise. The majority of existing phase unwrapping techniques are path-following methods, which explicitly or implicitly define an intelligent path and integrate phase difference along the path to mitigate the effect of erroneous pixels.
Howard Y H, Huang +5 more
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On Approximating Total Variation Distance
, 2022 Total variation distance (TV distance) is a fundamental notion of distance between probability distributions. In this work, we introduce and study the problem of computing the TV distance of two product distributions over the domain $\{0,1\}^n$.
Vinodchandran, N. V. +5 more
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