Optical Computing System for Fast Non-uniform Image Deblurring

Tao Yue, Jinli Suo, Xiangyang Ji, Qionghai Dai
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
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
more » ... unted 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.
doi:10.1109/cvprw.2013.138 dblp:conf/cvpr/YueSJD13 fatcat:xw5mmbf7cncnljqu5q7bzkxq7y