Search Results - "Deledalle, Charles"

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  1. 1

    Machine learning in acoustics: Theory and applications by Bianco, Michael J., Gerstoft, Peter, Traer, James, Ozanich, Emma, Roch, Marie A., Gannot, Sharon, Deledalle, Charles-Alban

    “…Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science. We survey the recent…”
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    Book Review Journal Article
  2. 2

    MuLoG, or How to Apply Gaussian Denoisers to Multi-Channel SAR Speckle Reduction? by Deledalle, Charles-Alban, Denis, Loic, Tabti, Sonia, Tupin, Florence

    Published in IEEE transactions on image processing (01-09-2017)
    “…Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) imaging. Since most current and planned SAR imaging satellites operate in…”
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    Journal Article
  3. 3

    NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising by Deledalle, Charles-Alban, Denis, Loïc, Tupin, Florence, Reigber, Andreas, Jäger, Marc

    “…Speckle noise is an inherent problem in coherent imaging systems such as synthetic aperture radar. It creates strong intensity fluctuations and hampers the…”
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    Journal Article
  4. 4

    Non-local Methods with Shape-Adaptive Patches (NLM-SAP) by Deledalle, Charles-Alban, Duval, Vincent, Salmon, Joseph

    Published in Journal of mathematical imaging and vision (01-06-2012)
    “…We propose in this paper an extension of the Non-Local Means (NL-Means) denoising algorithm. The idea is to replace the usual square patches used to compare…”
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    Journal Article
  5. 5

    Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights by Deledalle, C.-A., Denis, L., Tupin, F.

    Published in IEEE transactions on image processing (01-12-2009)
    “…Image denoising is an important problem in image processing since noise may interfere with visual or automatic interpretation. This paper presents a new…”
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    Journal Article
  6. 6

    Poisson Noise Reduction with Non-local PCA by Salmon, Joseph, Harmany, Zachary, Deledalle, Charles-Alban, Willett, Rebecca

    Published in Journal of mathematical imaging and vision (01-02-2014)
    “…Photon-limited imaging arises when the number of photons collected by a sensor array is small relative to the number of detector elements. Photon limitations…”
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    Journal Article
  7. 7

    Parisar: Patch-Based Estimation and Regularized Inversion for Multibaseline SAR Interferometry by Ferraioli, Giampaolo, Deledalle, Charles-Alban, Denis, Loic, Tupin, Florence

    “…Reconstruction of elevation maps from a collection of synthetic aperture radar (SAR) images obtained in interferometric configuration is a challenging task…”
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    Journal Article
  8. 8

    Ratio-Based Multitemporal SAR Images Denoising: RABASAR by Zhao, Weiying, Deledalle, Charles-Alban, Denis, Loic, Maitre, Henri, Nicolas, Jean-Marie, Tupin, Florence

    “…In this paper, we propose a fast and efficient multitemporal despeckling method. The key idea of the proposed approach is the use of the ratio image, provided…”
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    Journal Article
  9. 9

    How to Compare Noisy Patches? Patch Similarity Beyond Gaussian Noise by Deledalle, Charles-Alban, Denis, Loïc, Tupin, Florence

    Published in International journal of computer vision (01-08-2012)
    “…Many tasks in computer vision require to match image parts. While higher-level methods consider image features such as edges or robust descriptors, low-level…”
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    Journal Article
  10. 10

    Adaptive Regularization of the NL-Means: Application to Image and Video Denoising by Sutour, Camille, Deledalle, Charles-Alban, Aujol, Jean-Francois

    Published in IEEE transactions on image processing (01-08-2014)
    “…Image denoising is a central problem in image processing and it is often a necessary step prior to higher level analysis such as segmentation, reconstruction,…”
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    Journal Article
  11. 11

    NL-InSAR: Nonlocal Interferogram Estimation by Deledalle, Charles-Alban, Denis, Loïc, Tupin, Florence

    “…Interferometric synthetic aperture radar (SAR) data provide reflectivity, interferometric phase, and coherence images, which are paramount to scene…”
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    Journal Article
  12. 12

    Accelerating GMM-Based Patch Priors for Image Restoration: Three Ingredients for a 100 Speed-Up by Parameswaran, Shibin, Deledalle, Charles-Alban, Denis, Loic, Nguyen, Truong Q.

    Published in IEEE transactions on image processing (01-02-2019)
    “…Image restoration methods aim to recover the underlying clean image from corrupted observations. The expected patch log-likelihood (EPLL) algorithm is a…”
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    Journal Article
  13. 13

    Speckle Reduction in Matrix-Log Domain for Synthetic Aperture Radar Imaging by Deledalle, Charles-Alban, Denis, Loïc, Tupin, Florence

    Published in Journal of mathematical imaging and vision (01-03-2022)
    “…Synthetic aperture radar (SAR) images are widely used for Earth observation to complement optical imaging. By combining information on the polarization and the…”
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    Journal Article
  14. 14

    Robustness to Spatially Correlated Speckle in Plug-and-Play PolSAR Despeckling by Ulondu Mendes, Cristiano, Denis, Loic, Deledalle, Charles, Tupin, Florence

    “…Synthetic aperture radar (SAR) provides valuable information about the Earth's surface in all-weather and day-and-night conditions. Due to the inherent…”
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    Journal Article
  15. 15

    Two-Step Multitemporal Nonlocal Means for Synthetic Aperture Radar Images by Xin Su, Deledalle, Charles-Alban, Tupin, Florence, Hong Sun

    “…This paper presents a denoising approach for multitemporal synthetic aperture radar (SAR) images based on the concept of nonlocal means (NLM). It exploits the…”
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    Journal Article
  16. 16

    Block-Based Refitting in ℓ12 Sparse Regularization by Deledalle, Charles-Alban, Papadakis, Nicolas, Salmon, Joseph, Vaiter, Samuel

    “…In many linear regression problems, including ill-posed inverse problems in image restoration, the data exhibit some sparse structures that can be used to…”
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    Journal Article
  17. 17

    Estimation of Kullback-Leibler losses for noisy recovery problems within the exponential family by Deledalle, Charles-Alban

    Published in Electronic journal of statistics (01-01-2017)
    “…We address the question of estimating Kullback-Leibler losses rather than squared losses in recovery problems where the noise is distributed within the…”
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    Journal Article
  18. 18

    The degrees of freedom of partly smooth regularizers by Vaiter, Samuel, Deledalle, Charles, Fadili, Jalal, Peyré, Gabriel, Dossal, Charles

    “…We study regularized regression problems where the regularizer is a proper, lower-semicontinuous, convex and partly smooth function relative to a Riemannian…”
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    Journal Article
  19. 19

    NORCAMA: Change analysis in SAR time series by likelihood ratio change matrix clustering by Su, Xin, Deledalle, Charles-Alban, Tupin, Florence, Sun, Hong

    “…This paper presents a likelihood ratio test based method of change detection and classification for synthetic aperture radar (SAR) time series, namely…”
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    Journal Article
  20. 20

    Image Zoom Completion by Hidane, Moncef, El Gheche, Mireille, Aujol, Jean-Francois, Berthoumieu, Yannick, Deledalle, Charles-Alban

    Published in IEEE transactions on image processing (01-08-2016)
    “…We consider the problem of recovering a high-resolution image from a pair consisting of a complete low-resolution image and a high-resolution but incomplete…”
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    Journal Article