EFFICIENT MOTION DEBLURRING FOR INFORMATION RECOGNITION ON MOBILE DEVICES

Florian Brusius, Ulrich Schwanecke, Peter Barth

2011

Abstract

In this paper, a new method for the identification and removal of image artifacts caused by linear motion blur is presented. By transforming the image into the frequency domain and computing its logarithmic power spectrum, the algorithm identifies the parameters describing the camera motion that caused the blur. The spectrum is analysed using an adjusted version of the Radon transform and a straightforward method for detecting local minima. Out of the computed parameters, a blur kernel is formed, which is used to deconvolute the image. As a result, the algorithm is able to make previously unrecognisable features clearly legible again. The method is designed to work in resource-constrained environments, such as on mobile devices, where it can serve as a preprocessing stage for information recognition software that uses the camera as an additional input device.

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Paper Citation


in Harvard Style

Brusius F., Schwanecke U. and Barth P. (2011). EFFICIENT MOTION DEBLURRING FOR INFORMATION RECOGNITION ON MOBILE DEVICES . In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2011) ISBN 978-989-8425-46-1, pages 7-18. DOI: 10.5220/0003321200070018


in Bibtex Style

@conference{imagapp11,
author={Florian Brusius and Ulrich Schwanecke and Peter Barth},
title={EFFICIENT MOTION DEBLURRING FOR INFORMATION RECOGNITION ON MOBILE DEVICES},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2011)},
year={2011},
pages={7-18},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003321200070018},
isbn={978-989-8425-46-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2011)
TI - EFFICIENT MOTION DEBLURRING FOR INFORMATION RECOGNITION ON MOBILE DEVICES
SN - 978-989-8425-46-1
AU - Brusius F.
AU - Schwanecke U.
AU - Barth P.
PY - 2011
SP - 7
EP - 18
DO - 10.5220/0003321200070018