Optimal filter design for sampling pattern conversion

Author

Siohan, P.

Author_Institution

CCETT, Cesson-Sevigne, France

fYear

1989

fDate

6-8 Sep 1989

Firstpage

156

Lastpage

157

Abstract

Summary form only given. Two types of spatial sampling patterns, one with an orthogonal structure and one having a quincunx structure, both related by two parameters, L and K, with integer values, have been investigated. The following results have been obtained: (1) the definition of a family of diamond-shaped filters having an ideal shape for an up- or down-sampling conversion with given parameters L and K; (2) the determination of a set of constraints in the frequency domain and their equivalent in the spatial domain for linear-phase 2D finite-impulse-response (FIR) digital filters; (3) the design of 2D FIR filters with specifications and constraints depending on the parameters L and K; (4) the presentation with a zone plane of the distortion introduced by the sampling pattern conversion for various values of L and K ; and (5) the cascading of two sampling pattern conversions in order to convert a (L₁, K₁) quincunx structure into a (L₂, K₂) quincunx structure

Keywords

filtering and prediction theory; picture processing; signal processing; two-dimensional digital filters; 2D FIR filters; cascading; diamond-shaped filters; digital filters; distortion zone plate; finite-impulse-response; image processing; linear-phase; optimal filter design; orthogonal structure; quincunx structure; sampling pattern conversion; spatial sampling patterns; Digital filters; Filtering; Finite impulse response filter; HDTV; Image sampling; Multidimensional signal processing; Nonlinear filters; Sampling methods; Signal processing; Signal sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Multidimensional Signal Processing Workshop, 1989., Sixth

Conference_Location

Pacific Grove, CA

Type

conf

DOI

10.1109/MDSP.1989.97090

Filename

97090