Special Section on Mobile Computational Photography

Image deblurring in smartphone devices using built-in inertial measurement sensors

[+] Author Affiliations
Ondřej Šindelář

Charles University in Prague, Faculty of Mathematics and Physics, Prague, Czech Republic

Filip Šroubek

Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod Vodárenskou věží 4, CZ-182 08, Praha 8, Czech Republic

J. Electron. Imaging. 22(1), 011003 (Feb 04, 2013). doi:10.1117/1.JEI.22.1.011003
History: Received August 22, 2012; Revised December 20, 2012; Accepted December 28, 2012
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Abstract.  Long-exposure handheld photography is degraded with blur, which is difficult to remove without prior information about the camera motion. In this work, we utilize inertial sensors (accelerometers and gyroscopes) in modern smartphones to detect exact motion trajectory of the smartphone camera during exposure and remove blur from the resulting photography based on the recorded motion data. The whole system is implemented on the Android platform and embedded in the smartphone device, resulting in a close-to-real-time deblurring algorithm. The performance of the proposed system is demonstrated in real-life scenarios.

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Citation

Ondřej Šindelář and Filip Šroubek
"Image deblurring in smartphone devices using built-in inertial measurement sensors", J. Electron. Imaging. 22(1), 011003 (Feb 04, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.1.011003


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