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
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;
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
DOI :
10.1109/ICWAPR.2009.5207412
