Gyro-Based Multi-image Deconvolution for Removing Handshake Blur

Sung Hee Park, Marc Levoy
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
Image deblurring to remove blur caused by camera shake has been intensively studied. Nevertheless, most methods are brittle and computationally expensive. In this paper we analyze multi-image approaches, which capture and combine multiple frames in order to make deblurring more robust and tractable. In particular, we compare the performance of two approaches: align-and-average and multi-image deconvolution. Our deconvolution is nonblind, using a blur model obtained from real camera motion as
more » ... camera motion as measured by a gyroscope. We show that in most situations such deconvolution outperforms align-and-average. We also show, perhaps surprisingly, that deconvolution does not benefit from increasing exposure time beyond a certain threshold. To demonstrate the effectiveness and efficiency of our method, we apply it to still-resolution imagery of natural scenes captured using a mobile camera with flexible camera control and an attached gyroscope.
doi:10.1109/cvpr.2014.430 dblp:conf/cvpr/ParkL14 fatcat:jdlnwnf7mzhmdkk7wodairqnli