DocumentCode
2828403
Title
Application and study of wavelet transform in the QR code image preprocessing
Author
Zou, Xiong ; Liu, Guo-dong ; Wang, Jian-Min
Author_Institution
Key Lab. of Photoelectron & Commun., Jiangxi Sci. & Technol. Normal Univ., Nanchang, China
Volume
3
fYear
2010
fDate
21-24 May 2010
Abstract
Noise is Inevitable in QR code image´s capturing, In order to achieve very good noise cancellation as well as maintaining image details. Preprocessing in the QR code image is becoming more and more important. In the paper, we use a new wavelet threshold denoising method to the QR code image and get an appropriate coefficient to leseen or enlarge the high frequency wavelet coefficients and the threshold. The results show that this proposed method is better than the hard and soft threshold image denoising method. And this proposed method can also improve coding efficiency and accuracy.
Keywords
image denoising; image thinning; QR code image capturing; QR code image preprocessing; noise cancellation; quick response code; soft threshold image denoising; wavelet coefficient; wavelet threshold denoising; wavelet transform; Acoustic noise; Equations; Frequency; Image denoising; Low-frequency noise; Noise reduction; Solid modeling; Wavelet analysis; Wavelet coefficients; Wavelet transforms; Image pre-processing; Quick response code; Threshold; Two-dimensional code; Wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5821-9
Type
conf
DOI
10.1109/ICFCC.2010.5497555
Filename
5497555
Link To Document