Title :
A wavelet-domain algorithm for denoising in the presence of noise outliers
Author :
Zervakis, Michael E. ; Sundararajan, Vijay ; Parhi, Keshab K.
Author_Institution :
Tech. Univ. of Crete, Chania, Greece
Abstract :
A wavelet domain robust denoising algorithm is presented, which efficiently removes both Gaussian as well as Gaussian mixed with impulse noise. Several wavelet domain operators are developed which help in the denoising process. The superiority of the new algorithm is firmly established by simulation over a variety of images
Keywords :
Gaussian noise; image restoration; wavelet transforms; Gaussian noise; denoising; image processing; image restoration; impulse noise; noise outliers; simulation; wavelet domain operators; wavelet-domain algorithm; Gaussian noise; Information filtering; Information filters; Matrix decomposition; Noise reduction; Noise robustness; Signal processing; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647992
