Smooth sigmoid wavelet shrinkage for non-parametric estimation

Author

Atto, Abdourrahmane M. ; Pastor, Dominique ; Mercier, Gregoire

Author_Institution

Inst. Telecom, CNRS TAMCIC, Brest

fYear

2008

fDate

March 31 2008-April 4 2008

Firstpage

3265

Lastpage

3268

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

1520-6149

Print_ISBN

978-1-4244-1483-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2008.4518347

Filename

4518347