Title: Multiframe visual-inertial blur estimation and removal for unmodified smartphones
Authors: Sörös, Gábor
Münger, Severin
Beltrame, Carlo
Humair, Luc
Citation: Journal of WSCG. 2015, vol. 23, no. 1, p. 101-109.
Issue Date: 2015
Publisher: Václav Skala - UNION Agency
Document type: článek
URI: http://wscg.zcu.cz/WSCG2015/!_2015_Journal_WSCG-No-2.pdf
ISSN: 1213–6972 (hardcopy)
1213–6980 (CD-ROM)
1213–6964 (online)
Keywords: odstranění rozmazání;deblurring;smartphone;fotoaparát;gyroskop;rozostření pohybu;restaurování obrazu
Keywords in different language: blur removal;deblurring;smartphone;camera;gyroscope;motion blur;image restoration
Abstract in different language: Pictures and videos taken with smartphone cameras often suffer from motion blur due to handshake during the exposure time. Recovering a sharp frame from a blurry one is an ill-posed problem but in smartphone applications additional cues can aid the solution. We propose a blur removal algorithm that exploits information from subsequent camera frames and the built-in inertial sensors of an unmodified smartphone. We extend the fast non-blind uniform blur removal algorithm of Krishnan and Fergus to non-uniform blur and to multiple input frames. We estimate piecewise uniform blur kernels from the gyroscope measurements of the smartphone and we adaptively steer our multiframe deconvolution framework towards the sharpest input patches. We show in qualitative experiments that our algorithm can remove synthetic and real blur from individual frames of a degraded image sequence within a few seconds.
Rights: © Václav Skala - UNION Agency
Appears in Collections:Volume 23, Number 2 (2015)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/17154

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