DocumentCode
468959
Title
Image denoising and comparison by improving threshold based on the dyadic wavelet transform
Author
Huang, Zheng-Hong ; He, Xi-Ping ; Fang, Bin ; Xia, Li
Author_Institution
Chongqing Technol. & Bus. Univ., Chongqing
Volume
2
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
535
Lastpage
539
Abstract
Based on the characteristic of dyadic wavelet transform to image denoising , this paper presents that denoising precision can be improved by the way that adopting different thresholds according to the different scales of the wavelet coefficients of image and noise to establish the self-adjusted layered threshold function which adapts to it and reconstruct the wavelet. The experiment shows that by the method above the effect of image denoising is obviously superior to that of fixed threshold.
Keywords
image denoising; wavelet transforms; dyadic wavelet transform; image denoising; self-adjusted layered threshold function; Discrete wavelet transforms; Educational institutions; Image analysis; Image denoising; Image reconstruction; Noise reduction; Pattern analysis; Wavelet analysis; Wavelet coefficients; Wavelet transforms; dyadic wavelet transform; image denoising; signal-noise ratio; threshold function;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1065-1
Electronic_ISBN
978-1-4244-1066-8
Type
conf
DOI
10.1109/ICWAPR.2007.4420728
Filename
4420728
Link To Document