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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


Yves van Gennip

Prashant Athavale

J�r�me Gilles

Rustum Choksi


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.


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),

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
Keywords QR bar code, blind deblurring, finder pattern, TV regularization, TV flow
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