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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-Kelly
In 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.

History

Pagination

2815-2819

Location

Quebec City, Canada

Start date

2015-09-27

End date

2015-09-30

ISBN-13

9781479983391

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2015, IEEE

Title of proceedings

ICIP 2015 : Proceedings of the IEEE International Conference on Image Processing

Event

Image Processing. International Conference (2015 : Quebec City, Canada)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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