DocumentCode
3019369
Title
Image denoising by independent component analysis based on dyadic wavelet transform
Author
Huang, Zheng-Hong
Author_Institution
Coll. of Comput. Sci. & Inf. Eng., Chongqing Technol. & Bus. Univ., Chongqing, China
fYear
2009
fDate
12-15 July 2009
Firstpage
351
Lastpage
354
Abstract
Based on the dyadic wavelet transform, the threshold and threshold function are obtained adaptive with the decomposition of the dyadic wavelet coefficient by to improve of the lower bound error the noise threshold, and layered processing for threshold function. The noise mixed image was separated denoising by independent component analysis. Experiments show that the proposed method improves the signal-to-noise rate. Moreover, It´s better the image precision.
Keywords
image denoising; independent component analysis; wavelet transforms; dyadic wavelet transform; image denoising; independent component analysis; noise threshold; threshold function; Image denoising; Image reconstruction; Independent component analysis; Noise reduction; Pattern analysis; Statistics; Vectors; Wavelet analysis; Wavelet domain; Wavelet transforms; Dyadic wavelet transform; Image denoising; Independent component analysis (ICA); Wavelet threshold denoising;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3728-3
Electronic_ISBN
978-1-4244-3729-0
Type
conf
DOI
10.1109/ICWAPR.2009.5207412
Filename
5207412
Link To Document