A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes
arXiv:1410.6333 · 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.
14 pages, 19 figures (with a total of 57 subfigures), 1 table; v3: previously missing reference [35] added