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A regularization approach to blind deblurring and denoising of QR barcodes

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

Similar works

This paper was published in Repository@Nottingham.

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