Title :
Smooth sigmoid wavelet shrinkage for non-parametric estimation
Author :
Atto, Abdourrahmane M. ; Pastor, Dominique ; Mercier, Gregoire
Author_Institution :
Inst. Telecom, CNRS TAMCIC, Brest
fDate :
March 31 2008-April 4 2008
Abstract :
This paper presents a new sigmoid-based wave shrink function. The shrinkage obtained via this function is particularly suitable to reduce noise without impacting significantly the statistical properties of the signal to be recovered. The proposed WaveShrink function depends on a parameter that makes it possible to control the attenuation degree imposed to the data, and thus, allows for a flexible shrinkage.
Keywords :
image enhancement; image restoration; nonparametric statistics; parameter estimation; wavelet transforms; Gaussian noise; WaveShrink function; attenuation degree; flexible shrinkage; image enhancement; image restoration; nonparametric estimation; sigmoid-based wave shrink function; smooth sigmoid wavelet shrinkage; statistical properties; wavelet transforms; AWGN; Additive white noise; Amplitude modulation; Attenuation; Gaussian noise; Image enhancement; Noise reduction; Telecommunications; Wavelet coefficients; Wavelet transforms; Estimation; Gaussian noise; Image enhancement; Image restoration; Wavelet transforms;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518347
