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Disparity-based HDR imaging

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Abstract

High-dynamic range imaging permits to extend the dynamic range of intensity values to get close to what the human eye is able to perceive. Although there has been a huge progress in the digital camera sensor range capacity, the need of capturing several exposures in order to reconstruct high-dynamic range values persist. In this paper, we present a study on how to acquire high-dynamic range values for multi-stereo images. In many papers, disparity has been used to register pixels of different images and guide the reconstruction. In this paper, we show the limitations of such approaches and propose heuristics as solutions to identified problematic cases.
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Dates and versions

hal-02099818 , version 1 (19-05-2019)

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Jennifer Bonnard, Gilles Valette, Céline Loscos. Disparity-based HDR imaging. Digital Image & Signal Processing (DISP), 2019, Oxford, United Kingdom. ⟨hal-02099818⟩

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