DocumentCode :
3449763
Title :
Pilot-based 2D-barcode image restoration using successive interference cancellation
Author :
Chun, Chanwoo ; Son, Jung-Young
Author_Institution :
Jeonmin High Sch., Daejeon, South Korea
fYear :
2012
fDate :
13-16 Jan. 2012
Firstpage :
136
Lastpage :
138
Abstract :
We present a new deblurring algorithm for binary images. The proposed algorithm uses a predefined (pilot) pattern to estimate the point spread function (PSF) and applies the minimum mean square error based successive interference cancellation (MMSE-SIC) technique to decide the binary pixel value of the image. Our simulation results show that the proposed MMSE-SIC performs far superior to the other known deblurring techniques.
Keywords :
bar codes; estimation theory; image restoration; interference; mean square error methods; MMSE-SIC technique; binary images; binary pixel value; deblurring algorithm; minimum mean square error; pilot based 2D-barcode image restoration; point spread function estimation; successive interference cancellation; Algorithm design and analysis; Cameras; Educational institutions; Image restoration; Interference cancellation; Signal to noise ratio; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4577-0230-3
Type :
conf
DOI :
10.1109/ICCE.2012.6161776
Filename :
6161776
Link To Document :
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