Title :
Extended permutation filters and their application to image edge enhancement
Author :
Barner, K.E. ; Hardie, R.C.
Author_Institution :
Dept. of Electr. Eng., Delaware Univ., Newark, DE
Abstract :
Extended permutation (EP) filters are defined and analyzed in this paper. In particular, we focus on extended permutation rank selection (EPRS) filters. These filters are constrained to output an order statistic from an extended observation vector. This extended vector includes N observation samples and K statistics that are functions of the observation samples. By selecting an appropriate extended observation space, we show that the EPRS filters can be designed to have excellent edge enhancement characteristics. Moreover, the EPRS filters contain several previously defined edge enhancing filters as a subset and can perform edge enhancement in the presence of noise
Keywords :
filtering theory; image enhancement; image restoration; image sampling; nonlinear filters; EPRS filters; extended observation space; extended observation vector; extended permutation filters; extended permutation rank selection filters; image edge enhancement; observation samples; order statistic; Educational institutions; Genetic mutations; Image analysis; Image restoration; Information filtering; Information filters; Nonlinear filters; Paramagnetic resonance; Smoothing methods; Statistics;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.529722
