A regularization approach to blind deblurring and denoising of QR barcodes

van Gennip, Yves, Athavale, Prashant, Gilles, Jérôme and Choksi, Rustum (2015) A regularization approach to blind deblurring and denoising of QR barcodes. IEEE Transactions on Image Processing, 24 (9). pp. 2864-2873. ISSN 1941-0042

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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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/982617
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.
Keywords: QR bar code, blind deblurring, finder pattern, TV regularization, TV flow
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Mathematical Sciences
Identification Number: https://doi.org/10.1109/TIP.2015.2432675
Depositing User: Van Gennip, Yves
Date Deposited: 12 Nov 2015 10:48
Last Modified: 04 May 2020 20:07
URI: https://eprints.nottingham.ac.uk/id/eprint/30717

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