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This paper introduces a statistical method to decide whether two blocks in a pair of images match reliably. The method ensures that the selected block matches are unlikely to have occurred “just by chance.” The new approach is based on the definition of a simple but faithful statistical background model for image blocks learned from the image(More)
This article explores the sub-pixel accuracy attainable for the disparity computed from a rectified stereo pair of images with small baseline. In this framework we consider translations as the local deformation model between patches in the images. A mathematical study shows first how discrete block-matching can be performed with arbitrary precision under(More)
This paper presents a novel unsupervised method to transfer the style of an example image to a source image. The complex notion of image style is here considered as a local texture transfer, eventually coupled with a global color transfer. For the local texture transfer, we propose a new method based on an adaptive patch partition that captures the style of(More)
In this work, a novel and generic method for example-based color transfer is presented. The color transfer is formulated in two steps: first, an example-based Chromatic Adaptation Transform (CAT) has been designed to obtain an illuminant matching between input and example images. Second, the dominant colors of the input and example images are optimally(More)
In the framework of the candidate EE-8 ESA/FLEX mission, different Solar-Induced Fluorescence (SIF) retrieval algorithms are under implementation and testing. The Spectral Fitting Method is the baseline for the fluorescence retrievals for FLEX, since it is a powerful technique to decouple canopy reflected radiance and SIF by exploiting the high-resolution(More)
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)
Speed and accuracy in stereo vision are of foremost importance in many applications. Very few authors focus on both aspects and in this paper we propose a new local algorithm that achieves high-accuracy in real-time. Our GPU implementation of a disparity estimator levels with the fastest published so far with 4839 MDE/s (Millions of Disparity Estimation per(More)
This paper proposes a statistical rejection rule, designed for small baseline stereo satellites. The method learns an a contrario model for image blocks and discards the casual matches between the images of the stereo pair. A formula estimating the expected number of false alarms under the background model is proved. Comparative experiments on(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)
This paper addresses the problem of tonal fluctuation in videos. Due to the automatic settings of consumer cameras, the colors of objects in image sequences might change over time. We propose here a fast and computationally light method to stabilize this tonal appearance, while remaining robust to motion and occlusions. To do so, a minimally viable color(More)