Title :
A combined image denoising method
Author :
Shuang-Ping, Zhao
Author_Institution :
Dept. of Software Eng., Lanzhou Polytech. Coll., Lanzhou, China
Abstract :
This paper presents a combined denoising method based on an adaptive Wiener filtering in the wavelet domain and an adaptive Wiener filter in the spatial domain. First a pre-denoised image is obtained with the thresholding denoising in the wavelet domain and the residual noise variance of that is re-estimated. Then an adaptive Wiener filtering in spatial domain is applied to the reconstructed image to improve the accuracy. Computer simulation results show that, compared with a separate wavelet and spatial domain Wiener filtering, the mean squared error of the proposed method is the smallest and it obtains better denoising results.
Keywords :
Wiener filters; image denoising; image reconstruction; interference suppression; mean square error methods; adaptive Wiener filter; adaptive Wiener filtering; computer simulation; image denoising method; image reconstruction; mean squared error; residual noise variance; spatial domain; spatial domain Wiener filtering; Background noise; Computer errors; Digital filters; Gaussian noise; Image denoising; Noise reduction; Nonlinear filters; Wavelet coefficients; Wavelet domain; Wiener filter; combined filter; mean squared error; noise variances; spatial domain; wavelet; wiener filter;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2010 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4244-5554-6
Electronic_ISBN :
978-1-4244-5556-0
DOI :
10.1109/IASP.2010.5476118
