Results 21 to 30 of about 17,556,704 (381)
Structure Tensor Total Variation [PDF]
SIAM Journal on Imaging Sciences, 2015 Summary: We introduce a novel generic energy functional that we employ to solve inverse imaging problems within a variational framework. The proposed regularization family, termed as structure tensor total variation (STV), penalizes the eigenvalues of the structure tensor and is suitable for both grayscale and vector-valued images.
Lefkimmiatis, S +3 more
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Total Variation Isoperimetric Profiles [PDF]
SIAM Journal on Applied Algebra and Geometry, 2019 Applications such as political redistricting demand quantitative measures of geometric compactness to distinguish between simple and contorted shapes. While the isoperimetric quotient, or ratio of area to perimeter squared, is commonly used in practice, it is sensitive to noisy data and irrelevant geographic features like coastline.
Daryl DeFord +3 more
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Groupwise Multimodal Image Registration using Joint Total Variation [PDF]
, 2020 In medical imaging it is common practice to acquire a wide range of modalities (MRI, CT, PET, etc.), to highlight different structures or pathologies.
A Collignon +32 more
core +2 more sources
Sensors, 2022 Hyperspectral unmixing (HU) is a technique for estimating a set of pure source signals (end members) and their proportions (abundances) from each pixel of the hyperspectral image.
Xiangxiang Jia, Baofeng Guo
doaj +1 more source
Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The hyperspectral image superresolution (HSI-SR) problem aims to improve the spatial quality of a low spatial resolution HSI by fusing the LR-HSI with the corresponding high spatial resolution multispectral image.
Ting Xu +4 more
semanticscholar +1 more source
Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017 Hyperspectral images (HSIs) are often corrupted by a mixture of several types of noise during the acquisition process, e.g., Gaussian noise, impulse noise, dead lines, stripes, etc.
Yao Wang +5 more
semanticscholar +1 more source
A new inequality for the Riemann-Stieltjes integrals driven by irregular signals in Banach spaces
Journal of Inequalities and Applications, 2018 We prove an inequality of the Loéve-Young type for the Riemann-Stieltjes integrals driven by irregular signals attaining their values in Banach spaces, and, as a result, we derive a new theorem on the existence of the Riemann-Stieltjes integrals driven ...
Rafał M Łochowski
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Forward-Looking Super-Resolution Imaging for Sea-Surface Target with Multi-Prior Bayesian Method
Remote Sensing, 2021 Traditional forward-looking super-resolution methods mainly concentrate on enhancing the resolution with ground clutter or no clutter scenes. However, sea clutter exists in the sea-surface target imaging, as well as ground clutter when the imaging scene ...
Weixin Li +5 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.
İlker Bayram, M. E. Kamasak
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Semisoft Generalized Total Variation Minimization for Image Reconstruction in Computed Tomography
IEEE Access, 2017 The generalized l1 greedy algorithm was recently proposed and shown to outperform the standard reweighted l1-minimization and l1-greedy algorithms for image reconstruction in computed tomography (CT).
Xiezhang Li +3 more
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