Optical Computing System for Fast Non-uniform Image Deblurring

Tao Yue, Jinli Suo, Xiangyang Ji, Qionghai Dai; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2013, pp. 937-944

Abstract


Removing non-uniform blurring caused by camera shake has been troublesome for its high computational cost. To accelerate the non-uniform deblurring process, this paper analyzes the efficiency bottleneck of the non-uniform deblurring algorithms and proposes to implement the timeconsuming and repeatedly required module, i.e. nonuniform convolution, by optical computing. Specifically, the non-uniform convolution is simulated by an off-theshelf projector together with a camera mounted on a programmable motion platform. Benefiting from the high speed and parallelism of optical computation, our system is able to accelerate most existing non-uniform camera shake removing algorithms extensively. We develop a prototype system which can fast compute non-uniform convolution for the blurring image of planar scene caused by 3D rotation. By incorporating it into an iterative deblurring framework, the effectiveness of proposed system is verified.

Related Material


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[bibtex]
@InProceedings{Yue_2013_CVPR_Workshops,
author = {Yue, Tao and Suo, Jinli and Ji, Xiangyang and Dai, Qionghai},
title = {Optical Computing System for Fast Non-uniform Image Deblurring},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2013}
}