A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes

J\'er\^ome Gilles; Prashant Athavale; Rustum Choksi; Yves van Gennip

arxiv: 1410.6333 · v3 · pith:WEGQRSHSnew · submitted 2014-10-23 · 💻 cs.CV · cs.NA· math.NA

A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes

Yves van Gennip , Prashant Athavale , J\'er\^ome Gilles , Rustum Choksi This is my paper

classification 💻 cs.CV cs.NAmath.NA

keywords blindcodesdeblurringapproachassessavailablebarcodescode

0 comments

read the original 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.

This paper has not been read by Pith yet.

A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes

discussion (0)