DocumentCode :
2895021
Title :
A hybrid filter for the cancellation of mixed Gaussian noise and impulse noise
Author :
Rui Li ; Zhang, Yu-Jin
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
1
fYear :
2003
fDate :
15-18 Dec. 2003
Firstpage :
508
Abstract :
A hybrid filter for mixed noise cancellation is introduced in this paper. The proposed approach combines the advantages of the improved adaptive Wiener filter and bilinear interpolation filter, which can efficiently reduce both the white Gaussian noise and impulse noise. To select the corresponding filters with respect to the noise types, a novel method for impulse noise detection is also designed. Experimental and comparison results show that the proposed approach is particularly effective in removing the mixed Gaussian and impulse noises even with the severe contamination.
Keywords :
Gaussian noise; Wiener filters; image denoising; impulse noise; adaptive Wiener filter; bilinear interpolation filter; hybrid filter; impulse noise detection; mixed noise cancellation; white Gaussian noise; Adaptive filters; Detectors; Gaussian noise; Interpolation; Noise cancellation; Noise reduction; Nonlinear filters; Pixel; Pollution; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on
Print_ISBN :
0-7803-8185-8
Type :
conf
DOI :
10.1109/ICICS.2003.1292504
Filename :
1292504
Link To Document :
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