A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes
Computer Vision and Pattern Recognition
2023-07-19 v3 Numerical Analysis
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.
Cite
@article{arxiv.1410.6333,
title = {A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes},
author = {Yves van Gennip and Prashant Athavale and Jérôme Gilles and Rustum Choksi},
journal= {arXiv preprint arXiv:1410.6333},
year = {2023}
}
Comments
14 pages, 19 figures (with a total of 57 subfigures), 1 table; v3: previously missing reference [35] added