Paper Info
Title
Restoration of out of Focus Barcode Images Using Wiener Filter
Abstract
Barcode capturing using embedded camera in mobile phone is prone to producing images with out of focus blurring. Barcode decoding systems usually fail to decode barcodes from an image that is affected by image blurring. With macro function, users are able to capture sharp barcodes. Unfortunately, low end and mid range cameras usually do not have macro function which enables close range image capturing. To improve barcode recognition, we propose a technique to restore barcode images before the decoding process. First, we identify and calculate the point spread function (PSF) parameter and radius of the blur in Cepstrum domain. Then we restore the degraded image using Wiener filter. Experiments on both synthetic and real images show that our technique is adept in estimating the radius of the blur. The Wiener filter gives satisfactory result when it is used to restore blurred images with the acquired PSF from the preceding step.
Year
DOI
Venue
2009
10.1109/SITIS.2009.31
SITIS
Keywords
Field
DocType
wiener filter,point spread function,close range image,barcode image,barcode decoding system,barcode recognition,real image,degraded image,acquired psf,focus barcode,macro function,optical transfer function,image restoration,decoding,cepstrum,robustness
Wiener filter,Computer vision,Barcode reader,Optical transfer function,Pattern recognition,Computer science,Cepstrum,Artificial intelligence,Image restoration,Real image,Point spread function,Barcode
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
D. Addiati100.34
U. U. Sheikh2113.28
S. A. R. Abu-Bakar3799.67