| 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 article |
| URI: | http://wscg.zcu.cz/WSCG2015/!_2015_Journal_WSCG-No-2.pdf http://hdl.handle.net/11025/17154 |
| 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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