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Volume: 31 | Article ID: art00005
Improved image selection for stack-based HDR imaging
  DOI :  10.2352/ISSN.2470-1173.2019.4.PMII-581  Published OnlineJanuary 2019

Stack-based high dynamic range (HDR) imaging is a technique for achieving a larger dynamic range in an image by combining several low dynamic range images acquired at different exposures. Minimizing the set of images to combine, while ensuring that the resulting HDR image fully captures the scene’s irradiance, is important to avoid long image acquisition and postprocessing times. The problem of selecting the set of images has received much attention. However, existing methods either are not fully automatic, can be slow, or can fail to fully capture more challenging scenes. In this paper, we propose a fully automatic method for selecting the set of exposures to acquire that is both fast and more accurate. We show on an extensive set of benchmark scenes that our proposed method leads to improved HDR images as measured against ground truth using the mean squared error, a pixel-based metric, and a visible difference predictor and a quality score, both perception-based metrics.

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Peter van Beek, "Improved image selection for stack-based HDR imagingin Proc. IS&T Int’l. Symp. on Electronic Imaging: Photography, Mobile, and Immersive Imaging,  2019,  pp 581-1 - 581-7,

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