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
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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.