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Disparity-based HDR imaging
Jennifer Bonnard, Gilles Valette, Céline Loscos

Disparity-based HDR imaging

Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

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.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Disparity-based HDR imaging
Author / Organization Jennifer Bonnard, Gilles Valette, Céline Loscos
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2019
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-250280
Original Source Link Visit Source Page on hal.science »