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
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;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559519
