Title :
Wavelet domain image denoising by thresholding and Wiener filtering
Author_Institution :
Inst. of Radioelectronics, Warsaw Univ. of Technol., Poland
Abstract :
The approximate analysis of the errors occurring in empirical Wiener filtering is presented. We demonstrate that the denoising performance of Wiener filtering may be increased by preprocessing images with a thresholding operation.
Keywords :
Gaussian noise; Wiener filters; image denoising; mean square error methods; parameter estimation; wavelet transforms; Gaussian noise; Wiener filtering; image preprocessing; mean squared error; signal power estimation error; thresholding; wavelet domain image denoising; wavelet transform; Gaussian noise; Image denoising; Noise reduction; Parameter estimation; Random variables; Reactive power; Signal analysis; Signal processing; Wavelet domain; Wiener filter;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2003.818225
