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HDR imaging under non-uniform blurring
Rajagopalan Ambasamudram
Published in Springer Verlag
2012
Volume: 7584 LNCS
   
Issue: PART 2
Pages: 451 - 460
Abstract
Knowledge of scene irradiance is necessary in many computer vision algorithms. In this paper, we develop a technique to obtain the high dynamic range (HDR) irradiance of a scene from a set of differently exposed images captured using a hand-held camera. Any incidental motion induced by camera-shake can result in non-uniform motion blur. This is particularly true for frames captured with high exposure durations. We model the motion blur using a transformation spread function (TSF) that represents space-variant blurring as a weighted average of differently transformed versions of the latent image. We initially estimate the TSF of the blurred frames and then estimate the latent irradiance of the scene. © 2012 Springer-Verlag.
About the journal
JournalData powered by TypesetLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherData powered by TypesetSpringer Verlag
ISSN03029743
Open AccessNo
Concepts (12)
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    Artificial intelligence
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    Cameras
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    Photography
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    Computer vision algorithms
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    HAND-HELD CAMERAS
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    High dynamic range
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    HIGH EXPOSURES
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    NON-UNIFORM MOTIONS
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    SPACE-VARIANT BLURRING
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    SPREAD FUNCTIONS
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    Weighted averages
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    Computer vision