Search Results - "Laligant, Olivier"

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  1. 1

    Edge-Preserving Image Denoising Based on Lipschitz Estimation by Jalil, Bushra, Jalil, Zunera, Fauvet, Eric, Laligant, Olivier

    Published in Applied sciences (01-06-2021)
    “…The information transmitted in the form of signals or images is often corrupted with noise. These noise elements can occur due to the relative motion, noisy…”
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    Journal Article
  2. 2

    Regularization Preserving Localization of Close Edges by Laligant, O., Truchetet, F., Meriaudeau, F.

    Published in IEEE signal processing letters (01-03-2007)
    “…In this letter, we address the problem of the influence of neighbor edges and their effect on the edge delocalization while extracting a neighbor contour by a…”
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    Journal Article
  3. 3

    Detection of QRS complex in ECG signal based on classification approach by Bushra, Jalil, Olivier, Laligant, Eric, Fauvet, Ouadi, Beya

    “…Electrocardiogram (ECG) signals are used to analyze the cardiovascular activity in the human body and have a primary role in the diagnosis of several heart…”
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    Conference Proceeding
  4. 4

    Restoration of Videos Degraded by Local Isoplanatism Effects in the Near-Infrared Domain by Lemaitre, Magali, Laligant, Olivier, Blanc-Talon, Jacques, Mériaudeau, Fabrice

    “…When observing a scene horizontally at a long distance in the near-infrared domain, degradations due to atmospheric turbulence often occur. In our previous…”
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    Journal Article
  5. 5

    Multispectral camera as spatio-spectrophotometer under uncontrolled illumination by Khan, Haris Ahmad, Thomas, Jean-Baptiste, Hardeberg, Jon Yngve, Laligant, Olivier

    Published in Optics express (21-01-2019)
    “…Multispectral constancy enables the illuminant invariant representation of multi-spectral data. This article proposes an experimental investigation of…”
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    Journal Article
  6. 6

    A Nonlinear Derivative Scheme Applied to Edge Detection by Laligant, O., Truchetet, F.

    “…This paper presents a nonlinear derivative approach to addressing the problem of discrete edge detection. This edge detection scheme is based on the nonlinear…”
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    Journal Article
  7. 7

    Noise Estimation From Digital Step-Model Signal by Laligant, Olivier, Truchetet, Frederic, Fauvet, Eric

    Published in IEEE transactions on image processing (01-12-2013)
    “…This paper addresses the noise estimation in the digital domain and proposes a noise estimator based on the step signal model. It is efficient for any…”
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    Journal Article
  8. 8

    Entire reflective object surface structure understanding based on reflection motion estimation by Lu, Qinglin, Fauvet, Eric, Zakharova, Anastasia, Laligant, Olivier

    Published in Pattern recognition letters (15-12-2015)
    “…•An sub-segmentation method for the reflective surface structure understanding.•The use of reflection motion features as spatiotemporal coherence for video…”
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    Journal Article
  9. 9

    Signal restoration via a splitting approach by Jalil, Bushra, Fauvet, Eric, Laligant, Olivier

    “…In the present study, a novel signal restoration method from noisy data samples is presented and is termed as "signal split (SSplit)" approach. The new method…”
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    Journal Article
  10. 10

    Optical tomography from focus by Truchetet, Frédéric, Laligant, Olivier

    Published in Optics express (11-06-2007)
    “…A model and a method providing a 3D reconstruction of a given translucent object from a series of image acquisitions performed with various focus tunings is…”
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    Journal Article
  11. 11

    QaQ: Robust 6D Pose Estimation via Quality-Assessed RGB-D Fusion by Petitjean, Theo, Wu, Zongwei, Laligant, Olivier, Demonceaux, Cedric

    “…RGB-D 6D pose estimation has recently drawn great research attention thanks to the complementary depth information. Whereas, the depth and the color image are…”
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    Conference Proceeding
  12. 12

    QRS Complex Detection by Non Linear Thresholding of Modulus Maxima by Jalil, Bushra, Beya, Ouadi, Fauvet, Eric, Laligant, Olivier

    “…Electrocardiogram (ECG) signal is used to analyze the cardiovascular activity in the human body and has a primary role in the diagnosis of several heart…”
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    Conference Proceeding
  13. 13

    Edge enhancement by local deconvolution by Laligant, O., Truchetet, F., Dupasquier, A.

    Published in Pattern recognition (01-05-2005)
    “…In this paper a new approach for blurred image restoration is presented. Our algorithm is based on human vision which zooms back and forth in the image in…”
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    Journal Article
  14. 14

    SUSAN 3D operator, principal saliency degrees and directions extraction and a brief study on the robustness to noise by Walter, N., Aubreton, O., Fougerolle, Y.D., Laligant, O.

    “…In order to complete the work on the 3D SUSAN operator, an extraction of principal saliency degrees and direction is proposed. This will lead the proposed…”
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    Conference Proceeding
  15. 15

    Salient point characterization for low resolution meshes by Walter, N., Aubreton, O., Laligant, O.

    “…This paper deals with edge detection and vertex characterization of 3D meshes. First, a new measure is introduced, the saliency degree, which provide directly…”
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    Conference Proceeding
  16. 16

    Manufactured object sub-segmentation based on reflection motion estimation by Qinglin Lu, Laligant, Olivier, Fauvet, Eric, Zakharova, Anastasia

    “…In computer vision, reflection is a long-standing problem, it covers image textures, makes original color difficult to recognize, complicates the understanding…”
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    Conference Proceeding
  17. 17

    Applying Non Linear Approach for ECG Denoising and Waves Localization by Beya, Ouadi, Hittawe, Mohamad Mazen, Alashkar, Taleb, Fauvet, Eric, Laligant, Olivier

    “…In this paper, we develop and evaluate a robust single-lead electrocardiogram (ECG) delineation systemand waves localization method based on nonlinear…”
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    Conference Proceeding
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    Depth from dynamic (de)focused projection by Lertrusdachakul, I., Fougerolle, Y. D., Laligant, O.

    “…This paper presents a novel 3D reconstruction approach using dynamic (de)focused light. The method combines both depth from focus (DFF) and depth from defocus…”
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    Conference Proceeding