HDR imaging under non-uniform blurring

Authors:
C. S. Vijay;Paramanand Chandramouli;Rajagopalan Ambasamudram
Affiliations:
Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India;Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India;Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India
Venue:
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Year:
2012

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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.