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Erschienen in:
2012 | OriginalPaper | Buchkapitel
HDR Imaging under Non-uniform Blurring
verfasst von : C. S. Vijay, Paramanand Chandramouli, Rajagopalan Ambasamudram
Erschienen in: Computer Vision – ECCV 2012. Workshops and Demonstrations
Verlag: Springer Berlin Heidelberg
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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.