Year: 2024
Type: article
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.
Authors: Can Ali Gülyurt, Sümer Erkan Kaya
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4406420548