Modeling the autocorrelation of wavelet coefficients for image denoising

Author

Zhang, Huipin ; Nosratinia, Aria ; Wells, R.O., Jr.

Author_Institution

Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA

Volume

3

fYear

2000

fDate

2000

Firstpage

304

Abstract

The undecimated discrete wavelet transform (UDWT) is a powerful image denoising tool, well-known to perform better than orthogonal wavelets. Unlike the case of orthogonal wavelets, noise as well as signal in the UDWT domain are non-white. Because of this inter-pixel correlation, scalar operations such as thresholding do not take full advantage of the power of UDWT. In this paper, we present a model for autocorrelations in the UDWT domain, and use it in a Wiener-type denoising algorithm. This algorithm accounts for colored signal and noise, and also aims to implicitly match the directional information due to the local edges in the image

Keywords

FIR filters; Gaussian noise; Wiener filters; correlation methods; discrete wavelet transforms; filtering theory; image restoration; interference suppression; FIR Wiener filter; Wiener-type denoising algorithm; additive Gaussian noise; autocorrelation modeling; colored noise; colored signal; image denoising; inter-pixel correlation; local edges; undecimated discrete wavelet transform; wavelet coefficients; Additive noise; Autocorrelation; Colored noise; Discrete wavelet transforms; Finite impulse response filter; Image denoising; Noise reduction; Wavelet coefficients; Wavelet domain; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899365

Filename

899365