Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2012.6247660
Title: A two-stage approach to blind spatially-varying motion deblurring
Authors: Ji, H. 
Wang, K.
Issue Date: 2012
Citation: Ji, H.,Wang, K. (2012). A two-stage approach to blind spatially-varying motion deblurring. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 73-80. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2012.6247660
Abstract: Many blind motion deblur methods model the motion blur as a spatially invariant convolution process. However, motion blur caused by the camera movement in 3D space during shutter time often leads to spatially varying blurring effect over the image. In this paper, we proposed an efficient two-stage approach to remove spatially-varying motion blurring from a single photo. There are three main components in our approach: (i) a minimization method of estimating region-wise blur kernels by using both image information and correlations among neighboring kernels, (ii) an interpolation scheme of constructing pixel-wise blur matrix from region-wise blur kernels, and (iii) a non-blind deblurring method robust to kernel errors. The experiments showed that the proposed method outperformed the existing software based approaches on tested real images. © 2012 IEEE.
Source Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/104526
ISBN: 9781467312264
ISSN: 10636919
DOI: 10.1109/CVPR.2012.6247660
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