Image scrambling using 2-D periodically shift variant filters

Author

Joo, Kyung Sub ; Bose, Tamal

Author_Institution

Dept. of Electr. Eng., Colorado Univ., Denver, CO, USA

Volume

1

fYear

1995

fDate

13-16 Aug 1995

Firstpage

478

Abstract

Two-dimensional (2-D) periodically shift variant (PSV) digital filters are considered for image scrambling applications. The filters are formulated in the form of a difference equation and a Fornasini-Marchesini (FM) state-space model with periodic coefficients. These PSV models are then represented as shift-invariant systems which are named block difference equation and “Kiok-Neon” model respectively. Invertibility of this model is an important consideration, especially in image scrambling applications. A condition is established for the invertibility of the “Kiok-Neon” model of the 2-D PSV system. Also, the inverse system can be easily computed from the original system

Keywords

filtering theory; image processing; state-space methods; two-dimensional digital filters; 2D periodically shift variant filters; Fornasini-Marchesini state-space model; Kiok-Neon model; block difference equation; difference equation; image scrambling applications; inverse system; model invertibility; periodic coefficients; Delay; Difference equations; Digital filters; Out of order; Two dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on

Conference_Location

Rio de Janeiro

Print_ISBN

0-7803-2972-4

Type

conf

DOI

10.1109/MWSCAS.1995.504480

Filename

504480