O
Orclever
Back to Journal
Research Article Open AccessOrclever Native

A Practical Usage of Point Spread Function for Industrial Barcode Image Enhancement

Can Ali Gülyurt1,
Sümer Erkan Kaya2
1Asis Automation and Fueling Systems Inc.
2Asis Automation and Fueling Systems Inc.
Published:December 31, 2024
DOI: 10.56038/oprd.v5i1.575
Vol. 5, No. 1 · pp. 427–436

Abstract

Barcodes are extensively utilized across industries for a variety of critical and routine applications, ranging from logistics to inventory management. Their widespread use has driven a high demand for barcode-reading devices. Optical barcode readers rely heavily on camera performance and image quality to achieve successful decoding. However, the cost of these cameras can vary significantly based on factors such as lighting conditions, working distance, and exposure time. To reduce costs without the need to upgrade cameras or other hardware, a computational enhancement approach leveraging the Point Spread Function (PSF) has been developed. This method enhances image quality, ensuring effective barcode decoding even under suboptimal conditions, thereby offering a cost-efficient solution for industrial applications.

Keywords
Hesaplamalı GörüntülemeBilgisayarla GörmeNokta Yayılım FonksiyonuOptik Aktarım Fonksiyonu

References

  1. 1.L. Dumas, M. El Rhabi, and G. Rochefort, "An evolutionary approach for blind deconvolution of barcode images with nonuniform illumination," in Proc. 2011 IEEE Congress of Evolutionary Computation (CEC 2011), New Orleans, LA, USA, 2011, pp. 2423–2428. doi: 10.1109/CEC.2011.5949917.DOI
  2. 2.C. Zhou, Point Spread Function Engineering for Scene Recovery, Chapter 2, "Background and Overview," Section 2.1, "Point Spread Function and Depth of Field." 2013, p. 10.
Download PDF
Cite This Article
Gülyurt, C. A., Kaya, S. E. (2024). A Practical Usage of Point Spread Function for Industrial Barcode Image Enhancement. *Orclever Proceedings of Research and Development*, 5(1), 427-436. https://doi.org/10.56038/oprd.v5i1.575

Bibliographic Info

JournalOrclever Proceedings of Research and Development
Volume5
Issue1
Pages427–436
PublishedDecember 31, 2024
eISSN2980-020X