Title :
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
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;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899365