Search Results - "Deledalle, Charles"
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Machine learning in acoustics: Theory and applications
Published in The Journal of the Acoustical Society of America (01-11-2019)“…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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MuLoG, or How to Apply Gaussian Denoisers to Multi-Channel SAR Speckle Reduction?
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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NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising
Published in IEEE transactions on geoscience and remote sensing (01-04-2015)“…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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Non-local Methods with Shape-Adaptive Patches (NLM-SAP)
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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Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights
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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Poisson Noise Reduction with Non-local PCA
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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Parisar: Patch-Based Estimation and Regularized Inversion for Multibaseline SAR Interferometry
Published in IEEE transactions on geoscience and remote sensing (01-03-2018)“…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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Ratio-Based Multitemporal SAR Images Denoising: RABASAR
Published in IEEE transactions on geoscience and remote sensing (01-06-2019)“…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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How to Compare Noisy Patches? Patch Similarity Beyond Gaussian Noise
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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Adaptive Regularization of the NL-Means: Application to Image and Video Denoising
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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11
NL-InSAR: Nonlocal Interferogram Estimation
Published in IEEE transactions on geoscience and remote sensing (01-04-2011)“…Interferometric synthetic aperture radar (SAR) data provide reflectivity, interferometric phase, and coherence images, which are paramount to scene…”
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Accelerating GMM-Based Patch Priors for Image Restoration: Three Ingredients for a 100 Speed-Up
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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13
Speckle Reduction in Matrix-Log Domain for Synthetic Aperture Radar Imaging
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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Robustness to Spatially Correlated Speckle in Plug-and-Play PolSAR Despeckling
Published in IEEE transactions on geoscience and remote sensing (01-01-2024)“…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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Two-Step Multitemporal Nonlocal Means for Synthetic Aperture Radar Images
Published in IEEE transactions on geoscience and remote sensing (01-10-2014)“…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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Block-Based Refitting in ℓ12 Sparse Regularization
Published in Journal of mathematical imaging and vision (2021)“…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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Estimation of Kullback-Leibler losses for noisy recovery problems within the exponential family
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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The degrees of freedom of partly smooth regularizers
Published in Annals of the Institute of Statistical Mathematics (01-08-2017)“…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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NORCAMA: Change analysis in SAR time series by likelihood ratio change matrix clustering
Published in ISPRS journal of photogrammetry and remote sensing (01-03-2015)“…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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Image Zoom Completion
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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