Approximation analysis of variance errors based on optimal realization of the 2-D SDDF

Author

Ahn, Taehong ; Park, Jongan

Author_Institution

Dept. of Electron., Chun-Nam Coll., South Korea

Volume

2

fYear

1996

fDate

5-10 Aug 1996

Firstpage

1059

Abstract

The paper proposes optimal 2-D separable denominator digital filters (2-D SDDF). The technique is based on decomposing design specifications of 2-D impulse response into two 1-D forms. As coefficient quantization error must be minimized, 2-D SDDF can be optimized after coefficients of balanced realization transformed by an equivalent transformation matrix. The filtering of the noise image is carried out by a space mask from the proposed algorithm and Gaussian filter

Keywords

digital filters; image enhancement; quantisation (signal); state-space methods; 1-D form; 2-D impulse response; 2-D separable denominator digital filters; Gaussian filter; approximation analysis; coefficient quantization error; equivalent transformation matrix; noise image filtering; optimal realization; space mask; state space model; variance errors; Algorithm design and analysis; Analysis of variance; Digital filters; Filtering; Gaussian noise; Matrix decomposition; Quantization; Signal design; Signal processing algorithms; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on

Conference_Location

Taipei

Print_ISBN

0-7803-2775-6

Type

conf

DOI

10.1109/IECON.1996.566025

Filename

566025