Title :
Multichannel M-filtering for color image restoration
Author :
Barni, M. ; Cappellini, V. ; Mirri, L.
Author_Institution :
Dept. of Inf. Eng., Siena Univ., Italy
Abstract :
A new multichannel filter, the vector Huber filter (VHF) is proposed which, by relying on multivariate estimation theory permits to simultaneously remove impulsive and Gaussian noise from color images, while preserving edges and other fine image details. The new filter is obtained by extending the classical gray-scale Huber filter to the multichannel case. By relying on robust estimation theory, the rationale behind the development of the new filter is discussed. An approximated version of the vector Huber filter (the A-VHF filter), is also introduced to reduce the computational burden and making filtering practical. The validity of the A-VHF filter is confirmed by the preliminary experimental results shown in the paper
Keywords :
Gaussian noise; estimation theory; filtering theory; image colour analysis; image restoration; impulse noise; A-VHF filter; Gaussian noise removal; color image restoration; edge preservation; gray-scale Huber filter; impulsive noise removal; multichannel M-filtering; multivariate estimation theory; robust estimation theory; vector Huber filter; Color; Distortion measurement; Estimation theory; Filtering theory; Gaussian noise; Gray-scale; Image restoration; Information filtering; Information filters; Noise robustness;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.901012