Image scrambling using 2-D periodically shift variant filters

Kyung Sub Joo, Tamal Bose

Research output: Contribution to conferencePaper

7 Scopus citations

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.

Original languageEnglish (US)
Pages478-481
Number of pages4
StatePublished - Dec 1 1995
Externally publishedYes
EventProceedings of the 1995 IEEE 38th Midwest Symposium on Circuits and Systems. Part 1 (of 2) - Rio de Janeiro, Braz
Duration: Aug 13 1995Aug 16 1995

Other

OtherProceedings of the 1995 IEEE 38th Midwest Symposium on Circuits and Systems. Part 1 (of 2)
CityRio de Janeiro, Braz
Period8/13/958/16/95

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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    Joo, K. S., & Bose, T. (1995). Image scrambling using 2-D periodically shift variant filters. 478-481. Paper presented at Proceedings of the 1995 IEEE 38th Midwest Symposium on Circuits and Systems. Part 1 (of 2), Rio de Janeiro, Braz, .