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

Can Ali Gülyurt

Asis Automation and Fueling Systems Inc.

https://orcid.org/0009-0009-5053-6608

Sümer Erkan Kaya

Asis Automation and Fueling Systems Inc.

https://orcid.org/0009-0001-3979-742X

DOI: https://doi.org/10.56038/oprd.v5i1.575

Keywords: Hesaplamalı Görüntüleme, Bilgisayarla Görme, Nokta Yayılım Fonksiyonu, Optik Aktarım Fonksiyonu


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.


References

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: https://doi.org/10.1109/CEC.2011.5949917

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.

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