Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2010.5539941
Title: Robust flash deblurring
Authors: Zhuo, S. 
Guo, D.
Sim, T. 
Issue Date: 2010
Citation: Zhuo, S., Guo, D., Sim, T. (2010). Robust flash deblurring. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 2440-2447. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2010.5539941
Abstract: Motion blur due to camera shake is an annoying yet common problem in low-light photography. In this paper, we propose a novel method to recover a sharp image from a pair of motion blurred and flash images, consecutively captured using a hand-held camera. We first introduce a robust flash gradient constraint by exploiting the correlation between a sharp image and its corresponding flash image. Then we formulate our flash deblurring as solving a maximum-a-posteriori problem under the flash gradient constraint. We solve the problem by performing kernel estimation and non-blind deconvolution iteratively, leading to an accurate blur kernel and a reconstructed image with fine image details. Experiments on both synthetic and real images show the superiority of our method compared with existing methods. ©2010 IEEE.
Source Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/39999
ISBN: 9781424469840
ISSN: 10636919
DOI: 10.1109/CVPR.2010.5539941
Appears in Collections:Staff Publications

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