DocumentCode
304497
Title
On the optimal design of rational rank selection filters for image restoration
Author
Chen, Rong-Chung ; Yu, Pao-Ta
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
407
Abstract
In this paper, a powerful class of nonlinear filters, called rank conditioned rational rank selection (RCRRS) filters, is proposed to improve the filtering capability of rank conditioned rank selection (RCRS) filters. The approach of rational rank selection is presented in this paper such that they can output appropriate data from a larger set of samples instead of the data from the observation samples
Keywords
image restoration; nonlinear filters; optimisation; RCRRS filters; RCRS filters; image restoration; nonlinear filters; optimal design; rank conditioned rank selection filters; rank conditioned rational rank selection filters; Computer science; Economic indicators; Electronic mail; Image restoration; Information filtering; Information filters; Power engineering and energy; Zinc;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.559519
Filename
559519
Link To Document