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Radiometric calibration for HDR imaging
conference contribution
posted on 2015-01-01, 00:00 authored by Ahmed Sohaib, Antonio Robles-KellyAntonio Robles-KellyIn this paper we present a method to estimate the radiance map and camera response function for high dynamic range (HDR) imaging which is devoid of free parameters and can reliably recover HDR images with as few as two low-dynamic range (LDR) views acquired at different exposures. To do this, we employ a L1 cost function which lends itself to the use of a Weiszfeld optimisation scheme. We illustrate the utility of the method for computing high-dynamic range images from low-dynamic range imagery. In our experiments, we compare our results with those delivered by alternatives elsewhere in the literature and show that our method can outperform the alternatives with as few as two LDR images. We also apply our method to panorama generation.
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Event
Image Processing. International Conference (2015 : Quebec City, Canada)Pagination
2815 - 2819Publisher
IEEELocation
Quebec City, CanadaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2015-09-27End date
2015-09-30ISBN-13
9781479983391Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2015, IEEETitle of proceedings
ICIP 2015 : Proceedings of the IEEE International Conference on Image ProcessingUsage metrics
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