Title :
Identification and Recovery of the Blurred QR Code Image
Author :
Gang Xu ; Renzhe Li ; Lu Yang ; Xiaochen Liu
Author_Institution :
Electr. & Electron. Eng. Sch., North China Electr. Power Univ., Beijing, China
Abstract :
This paper describes the basic information of QR Code. Especially for the blurred QR Code image, we put forward an improved NAS-RIF algorithm which makes bimodal characteristic of the barcode image into it as a constraint. NAS-RIF algorithm itself has a good convergence speed. It will effectively improve the recovery effect of barcode image after combining with bimodal limit. The experiment shows that the improved algorithm not only enhances PSNR but improves the visual effect of the restored barcode image.
Keywords :
bar codes; image coding; image restoration; NAS-RIF algorithm; PSNR; bimodal characteristic; bimodal limit; blurred QR code image; convergence speed; identification; recovery effect; restored barcode image; visual effect; Convergence; Cost function; Degradation; Educational institutions; Image restoration; PSNR; Signal processing algorithms; NAS-RIF; QR Code; bimodal; blurred image;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.560
