Please use this identifier to cite or link to this item:
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.
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
ISBN: 9781424469840
ISSN: 10636919
DOI: 10.1109/CVPR.2010.5539941
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Sep 15, 2020


checked on Sep 15, 2020

Page view(s)

checked on Sep 22, 2020

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.