Title :
Wavelet transforms and denoising algorithms
Author :
Berkner, Kathrin ; Wells, Raymond O., Jr.
Author_Institution :
Lab. of Comput. Math., Rice Univ., Houston, TX, USA
Abstract :
This paper addresses generalizations of the Donoho-Johnstone denoising method which is suited for additive Gaussian white noise and uses orthogonal wavelet transforms. We discuss the effects the choice of the wavelet transform has in wavelet shrinkage assuming the noise model to be Gaussian white noise. In addition we formulate some more general noise models that arise from real world data such as medical images and seismic data.
Keywords :
AWGN; discrete wavelet transforms; interference suppression; signal processing; wavelet transforms; white noise; AWGN; Donoho-Johnstone denoising method; additive Gaussian white noise; denoising algorithms; medical images; orthogonal wavelet transforms; seismic data; wavelet shrinkage; wavelet transforms; Autocorrelation; Capacitive sensors; Continuous wavelet transforms; Discrete transforms; Discrete wavelet transforms; Filter bank; Matrix decomposition; Noise reduction; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.751603
