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A regularization approach to blind deblurring and denoising of QR barcodes

van Gennip, Yves; Athavale, Prashant; Gilles, J�r�me; Choksi, Rustum

Authors

Yves van Gennip

Prashant Athavale

J�r�me Gilles

Rustum Choksi



Abstract

QR bar codes are prototypical images for which part of the image is a priori known (required patterns). Open source bar code readers, such as ZBar, are readily available. We exploit both these facts to provide and assess purely regularization-based methods for blind deblurring of QR bar codes in the presence of noise.

Citation

van Gennip, Y., Athavale, P., Gilles, J., & Choksi, R. (2015). A regularization approach to blind deblurring and denoising of QR barcodes. IEEE Transactions on Image Processing, 24(9), https://doi.org/10.1109/TIP.2015.2432675

Journal Article Type Article
Publication Date Sep 1, 2015
Deposit Date Nov 12, 2015
Publicly Available Date Nov 12, 2015
Journal IEEE Transactions on Image Processing
Print ISSN 1057-7149
Electronic ISSN 1941-0042
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 24
Issue 9
DOI https://doi.org/10.1109/TIP.2015.2432675
Keywords QR bar code, blind deblurring, finder pattern, TV regularization, TV flow
Public URL https://nottingham-repository.worktribe.com/output/982617
Publisher URL http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7106501
Additional Information (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

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