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Single Shot High Dynamic Range Imaging Using Piecewise Linear Estimators

Abstract : Building high dynamic range (HDR) images by combining photographs captured with different exposure times present several drawbacks, such as the need for global alignment and motion estimation in order to avoid ghosting artifacts. The concept of spatially varying pixel exposures (SVE) proposed by Nayar et al. enables to capture in only one shot a very large range of exposures while avoiding these limitations. In this paper, we propose a novel approach to generate HDR images from a single shot acquired with spatially varying pixel exposures. The proposed method makes use of the assumption stating that the distribution of patches in an image is well represented by a Gaussian Mixture Model. Drawing on a precise modeling of the camera acquisition noise, we extend the piecewise linear estimation strategy developed by Yu et al. for image restoration. The proposed method permits to reconstruct an irradiance image by simultaneously estimating saturated and under-exposed pixels and denoising existing ones, showing significant improvements over existing approaches.
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https://hal.archives-ouvertes.fr/hal-01054831
Contributor : Cecilia Aguerrebere <>
Submitted on : Friday, August 8, 2014 - 4:35:23 PM
Last modification on : Friday, July 31, 2020 - 10:44:11 AM
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Cecilia Aguerrebere, Andrés Almansa, Yann Gousseau, Julie Delon, Pablo Muse. Single Shot High Dynamic Range Imaging Using Piecewise Linear Estimators. 2014 IEEE International Conference on Computational Photography (ICCP), May 2014, Santa Clara, CA, United States. pp.1-10, ⟨10.1109/ICCPHOT.2014.6831807⟩. ⟨hal-01054831⟩

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