Please use this identifier to cite or link to this item:
|Title:||Robust flash deblurring|
|Authors:||Zhuo, S. |
|Source:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 15, 2018
WEB OF SCIENCETM
checked on Feb 5, 2018
checked on Feb 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.