DocumentCode :
2539282
Title :
Design of a class of maximally-flat spatial filters
Author :
Matei, Radu P.
Author_Institution :
Iasi Tech. Univ.
fYear :
2006
fDate :
21-24 May 2006
Abstract :
In this paper, we present a design technique for a particular class of spatial linear filters, with a zero-phase and maximally-flat frequency response. The design is achieved in the frequency domain and is based on prototype filters obtained using the maximally-flat approximation. The proposed design method is enough general and is valid for several types of filters. Here we present the design of 2D low-pass filters with circular symmetry and also orientation-selective filters with elliptic symmetry. The designed filters are realized using CNNs, nevertheless they can be also regarded as discrete spatial filters, which can be implemented digitally using currently available methods. Simulation results on a grayscale image are given, showing their filtering capabilities
Keywords :
cellular neural nets; frequency response; frequency-domain synthesis; low-pass filters; spatial filters; two-dimensional digital filters; 2D low-pass filters; cellular neural networks; circular symmetry; discrete spatial filters; elliptic symmetry; frequency domain design; maximally-flat frequency response; maximally-flat spatial filters; orientation-selective filters; spatial linear filters; zero-phase response; Cellular neural networks; Design methodology; Digital filters; Frequency domain analysis; Frequency response; Gray-scale; Low pass filters; Nonlinear filters; Prototypes; Spatial filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
Type :
conf
DOI :
10.1109/ISCAS.2006.1693047
Filename :
1693047
Link To Document :
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