Search Results - "Variational image processing"

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  1. 1

    Whiteness-based parameter selection for Poisson data in variational image processing by Bevilacqua, Francesca, Lanza, Alessandro, Pragliola, Monica, Sgallari, Fiorella

    ISSN: 0307-904X
    Published: Elsevier Inc 01.05.2023
    Published in Applied mathematical modelling (01.05.2023)
    “…•Introduction of a standardized Poisson random process.•Analysis of the whiteness properties of a standardized Poisson process.•Design of a novel parameter…”
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    Journal Article
  2. 2

    Introduction to variational image-processing models and applications by Chen, Ke

    ISSN: 0020-7160, 1029-0265
    Published: Taylor & Francis 01.01.2013
    “…Variational image-processing models offer high-quality processing capabilities for imaging…”
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    Journal Article
  3. 3

    Fusion-Based Variational Image Dehazing by Galdran, Adrian, Vazquez-Corral, Javier, Pardo, David, Bertalmio, Marcelo

    ISSN: 1070-9908, 1558-2361
    Published: IEEE 01.02.2017
    Published in IEEE signal processing letters (01.02.2017)
    “…We propose a novel image-dehazing technique based on the minimization of two energy functionals and a fusion scheme to combine the output of both…”
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    Journal Article
  4. 4

    Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images by Zhang, Xuechen, Cheng, Isaac, Liu, Shaojun, Li, Chenrui, Xue, Jing-Hao, Tam, Lai-Shan, Yu, Weichuan

    ISSN: 0895-6111, 1879-0771, 1879-0771
    Published: United States Elsevier Ltd 01.06.2023
    Published in Computerized medical imaging and graphics (01.06.2023)
    “…Rheumatoid arthritis (RA) is a chronic inflammatory disease. It leads to bone erosion in joints and other complications, which severely affect patients’…”
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    Journal Article
  5. 5

    Compressed MRI reconstruction exploiting a rotation-invariant total variation discretization by Esfahani, Erfan Ebrahim, Hosseini, Alireza

    ISSN: 0730-725X, 1873-5894, 1873-5894
    Published: Netherlands Elsevier Inc 01.09.2020
    Published in Magnetic resonance imaging (01.09.2020)
    “…Inspired by the first-order method of Malitsky and Pock, we propose a new variational framework for compressed MR image reconstruction which introduces the…”
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    Journal Article
  6. 6

    Variational denoising of partly textured images by spatially varying constraints by Gilboa, G., Sochen, N., Zeevi, Y.Y.

    ISSN: 1057-7149, 1941-0042
    Published: New York, NY IEEE 01.08.2006
    Published in IEEE transactions on image processing (01.08.2006)
    “…Denoising algorithms based on gradient dependent regularizers, such as nonlinear diffusion processes and total variation denoising, modify images towards…”
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    Journal Article
  7. 7

    Isotropic multichannel total variation framework for joint reconstruction of multicontrast parallel MRI by Esfahani, Erfan Ebrahim

    ISSN: 2329-4302
    Published: United States 01.01.2022
    “…: To develop a synergistic image reconstruction framework that exploits multicontrast (MC), multicoil, and compressed sensing (CS) redundancies in magnetic…”
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    Journal Article
  8. 8

    Image enhancement variational methods for enabling strong cost reduction in OLED‐based point‐of‐care immunofluorescent diagnostic systems by Lazzaro, D., Morigi, S., Melpignano, P., Loli Piccolomini, E., Benini, L.

    ISSN: 2040-7939, 2040-7947, 2040-7947
    Published: England Wiley Subscription Services, Inc 01.03.2018
    “…Immunofluorescence diagnostic systems cost is often dominated by high‐sensitivity, low‐noise CCD‐based cameras that are used to acquire the fluorescence…”
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    Journal Article
  9. 9

    Whiteness-based parameter selection for Poisson data in variational image processing by Bevilacqua, Francesca, Lanza, Alessandro, Pragliola, Monica, Sgallari, Fiorella

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 21.07.2022
    Published in arXiv.org (21.07.2022)
    “…We propose a novel automatic parameter selection strategy for variational imaging problems under Poisson noise corruption. The selection of a suitable…”
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    Paper
  10. 10

    Estimation of optimal PDE-based denoising in the SNR sense by Gilboa, G., Sochen, N., Zeevi, Y.Y.

    ISSN: 1057-7149, 1941-0042
    Published: New York, NY IEEE 01.08.2006
    Published in IEEE transactions on image processing (01.08.2006)
    “…This paper is concerned with finding the best partial differential equation-based denoising process, out of a set of possible ones. We focus on either finding…”
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    Journal Article
  11. 11

    Contour Stencils and Variational Image Processing by Getreuer, Pascal Tom

    ISBN: 9781124457512, 1124457518
    Published: ProQuest Dissertations & Theses 01.01.2010
    “…The first part of this thesis is on contour stencils, a new method for edge adaptive image processing. We focus particularly on image zooming, which is the…”
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    Dissertation
  12. 12

    Recovery of CT stroke hypodensity – An adaptive variational approach by Przelaskowski, Artur

    ISSN: 0895-6111, 1879-0771
    Published: United States Elsevier Ltd 01.12.2015
    Published in Computerized medical imaging and graphics (01.12.2015)
    “…•We designed and verified computerized support of acute stroke diagnosis.•Novelty is application of integrated variational approach to detect ischemic…”
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    Journal Article
  13. 13

    Convex Variational Image Restoration with Histogram Priors by Swoboda, Paul, Schnörr, Christoph

    ISSN: 1936-4954, 1936-4954
    Published: Philadelphia Society for Industrial and Applied Mathematics 01.01.2013
    Published in SIAM journal on imaging sciences (01.01.2013)
    “…We present a novel variational approach to image restoration (e.g., denoising, inpainting, labeling) that enables us to complement established variational…”
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    Journal Article
  14. 14

    Variational image processing algorithms for the stereoscopic space-time reconstruction of water waves by Bonet, Guillermo Gallego

    ISBN: 9781124760056, 1124760059
    Published: ProQuest Dissertations & Theses 01.01.2011
    “…A novel video observational method for the space-time stereoscopic reconstruction of dynamic surfaces representable as graphs, such as ocean waves, is…”
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    Dissertation
  15. 15

    First order algorithms in variational image processing by Burger, Martin, Sawatzky, Alex, Steidl, Gabriele

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 13.12.2014
    Published in arXiv.org (13.12.2014)
    “…Variational methods in imaging are nowadays developing towards a quite universal and flexible tool, allowing for highly successful approaches on tasks like…”
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    Paper
  16. 16
  17. 17

    Modeling Multigrid Algorithms for Variational Imaging by Dietrich, Isabel, German, Reinhard, Koestler, Harald, Ruede, Ulrich

    ISBN: 9780769540061, 9781424464753, 1424464757, 0769540066
    ISSN: 1530-0803
    Published: IEEE 01.04.2010
    “…UML-based modeling is becoming increasingly popular in many software development projects. One of the key aspects is the possibility to support automatic code…”
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    Conference Proceeding
  18. 18

    An accelerated alternating direction method of multiplier for MRI with TV regularisation by Zhu, ZhiBin, Ding, YueHong, Liu, Ying, Huang, JiaQi

    ISSN: 0730-725X, 1873-5894, 1873-5894
    Published: Netherlands Elsevier Inc 01.12.2024
    Published in Magnetic resonance imaging (01.12.2024)
    “…) plays a key role in the variational image processing problem. This paper aims to improve the quality of MRI and shorten the reconstruction time…”
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    Journal Article
  19. 19

    Fast Alternating Direction Optimization Methods by Goldstein, Tom, O'Donoghue, Brendan, Setzer, Simon, Baraniuk, Richard

    ISSN: 1936-4954, 1936-4954
    Published: Philadelphia Society for Industrial and Applied Mathematics 01.01.2014
    Published in SIAM journal on imaging sciences (01.01.2014)
    “… These methods have become particularly important in the field of variational image processing, which frequently requires the minimization of nondifferentiable objectives…”
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    Journal Article
  20. 20

    Unsupervised learning of multi-task deep variational model by Tan, Lu, Li, Ling, Liu, Wan-Quan, An, Sen-Jian, Munyard, Kylie

    ISSN: 1047-3203, 1095-9076
    Published: Elsevier Inc 01.08.2022
    “… Technically, it can properly incorporate the CNN based deep image prior (DIP) architecture into the classic variational image processing models…”
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    Journal Article