A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes

Yves van Gennip; Prashant Athavale; Jérôme Gilles; Rustum Choksi

doi:10.1109/TIP.2015.2432675

A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes

IEEE Trans Image Process. 2015 Sep;24(9):2864-73. doi: 10.1109/TIP.2015.2432675.

Authors

Yves van Gennip, Prashant Athavale, Jérôme Gilles, Rustum Choksi

PMID: 25974935
DOI: 10.1109/TIP.2015.2432675

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.

Publication types

Research Support, Non-U.S. Gov't