DocumentCode
1741565
Title
Multichannel M-filtering for color image restoration
Author
Barni, M. ; Cappellini, V. ; Mirri, L.
Author_Institution
Dept. of Inf. Eng., Siena Univ., Italy
Volume
1
fYear
2000
fDate
2000
Firstpage
529
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.901012
Filename
901012
Link To Document