mlsanityData to 7 Oct 2026

A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes

arXiv 1410.6333 ↗First posted 23 Oct 2014cs.CV cs.NA math.NAcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Oct 2014.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 1; 2026: 1.

3 papers.

  1. 2024Neuromorphic Synergy for Video Binarizationcited by 3
  2. 2025An Adaptive Edge-Guided Dual-Network Framework for Fast QR Code Motion Deblurringcited by 0
  3. 2026Blind Deconvolution of Binary and Pattern Images with Pixel Intensity Constraints and Sparse Gradient Priorcited by 0