A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes
arXiv:1410.6333v334 citationsHas Code
Originality Synthesis-oriented
AI Analysis
This addresses a domain-specific issue for QR code processing, likely incremental as it builds on existing regularization techniques.
The paper tackled the problem of blind deblurring and denoising of QR barcodes by using regularization-based methods, leveraging known patterns and open-source readers for assessment, but did not report specific numerical results.
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.