A regularization approach to blind deblurring and denoising of QR barcodes
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...
| Main Authors: | , , , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers
2015
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| Online Access: | https://eprints.nottingham.ac.uk/30717/ |
| _version_ | 1848794043032535040 |
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| author | van Gennip, Yves Athavale, Prashant Gilles, Jérôme Choksi, Rustum |
| author_facet | van Gennip, Yves Athavale, Prashant Gilles, Jérôme Choksi, Rustum |
| author_sort | van Gennip, Yves |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:09:55Z |
| format | Article |
| id | nottingham-30717 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:09:55Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-307172020-05-04T20:07:42Z https://eprints.nottingham.ac.uk/30717/ A regularization approach to blind deblurring and denoising of QR barcodes van Gennip, Yves Athavale, Prashant Gilles, Jérôme Choksi, Rustum 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. Institute of Electrical and Electronics Engineers 2015-09 Article PeerReviewed 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 QR bar code blind deblurring finder pattern TV regularization TV flow http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7106501 doi:10.1109/TIP.2015.2432675 doi:10.1109/TIP.2015.2432675 |
| spellingShingle | QR bar code blind deblurring finder pattern TV regularization TV flow van Gennip, Yves Athavale, Prashant Gilles, Jérôme Choksi, Rustum A regularization approach to blind deblurring and denoising of QR barcodes |
| title | A regularization approach to blind deblurring and denoising of QR barcodes |
| title_full | A regularization approach to blind deblurring and denoising of QR barcodes |
| title_fullStr | A regularization approach to blind deblurring and denoising of QR barcodes |
| title_full_unstemmed | A regularization approach to blind deblurring and denoising of QR barcodes |
| title_short | A regularization approach to blind deblurring and denoising of QR barcodes |
| title_sort | regularization approach to blind deblurring and denoising of qr barcodes |
| topic | QR bar code blind deblurring finder pattern TV regularization TV flow |
| url | https://eprints.nottingham.ac.uk/30717/ https://eprints.nottingham.ac.uk/30717/ https://eprints.nottingham.ac.uk/30717/ |