Title :
Wavelet-Domain Soft-Thresholding for Non-Stationary Noise
Author :
Lo, W.Y. ; Selesnick, I.W.
Author_Institution :
Polytech. Univ., Brooklyn, NY, USA
Abstract :
This paper describes a new wavelet-based denoising algorithm based on a non-stationary noise assumption. Even though stationary noise models can simplify the development and implementation of denoising algorithms, they do not always accurately describe the statistical properties of the noise. The proposed algorithm has been developed to address signal processing problems under environments where the noise is spatially varying. We illustrate two signal denoising examples in order to show the performance of the proposed algorithm.
Keywords :
image denoising; image segmentation; wavelet transforms; image processing; nonstationary noise; signal processing problem; soft-thresholding; wavelet-based denoising algorithm; Biomedical imaging; Gaussian noise; Noise reduction; Positron emission tomography; Signal denoising; Signal processing; Signal processing algorithms; Single photon emission computed tomography; Wavelet transforms; Working environment noise; Gaussian noise; MAP estimation; Poisson processes; image processing; wavelet transforms;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312701
