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In this paper we propose a post-processing pipeline to recover accurately the views (light-field) from the raw data of a plenoptic camera such as Lytro and to estimate disparity maps in a novel way from such a light-field. First, the microlens centers are estimated and then the raw image is demultiplexed without demosaicking it beforehand. Then, we present(More)
Light-field imaging has been recently introduced to mass market by the hand held plenoptic camera Lytro. Thanks to a microlens array placed between the main lens and the sensor, the captured data contains different views of the scene from different view points. This offers several post-capture applications, e.g., computationally changing the main lens(More)
In-line digital holography is an imaging technique which is being increasingly used for studying 3D flows. It has been previously shown that very accurate reconstructions of objects could be achieved with the use of an inverse problems framework. Such approaches however suffer from higher computational times compared to less accurate conventional(More)
Light field imaging is recently made available to the mass market by Lytro and Raytrix commercial cameras. Thanks to a grid of microlenses put in front of the sensor, a plenoptic camera simultaneously captures several images of the scene under different viewing angles, providing an enormous advantage for post-capture applications, e.g., depth estimation and(More)
A digital hologram is a 2-D recording of the diffraction fringes created by 3-D objects under coherent lighting. These fringes encode the shape and 3-D location information of the objects. By simulating re-lighting of the hologram, the 3-D wave field can be reconstructed and a volumetric image of the objects recovered. Rather than performing object(More)
Pattern matching methods can be used in the context of digital holography to perform the task of object recognition, classification and position extraction directly from the hologram and not from the reconstructed optical yield. These approaches exploit the differences between the objects holographic signatures caused by class and depth position of the(More)
Color has been shown to be useful in the context of texture classification. However, since under different illuminations color is not stable, color invariant descriptors should be defined when the illumination of the query is unknown. In this paper, we propose to characterize color textures by analyzing the rank correlation of color planes between pixels(More)
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