Abstract
Two-dimensional (2-D) periodically shift variant (PSV) digital filters are considered. The filters are formulated in the form of the Fornasini-Marchesini (FM) state-space model with periodic coefficients. This PSV model is then represented as a new shift-invariant system which is named the 'Kiok-Neon' model. This model has several advantages that include ease of analysis and reduced computations compared to the existing state-space models. An algorithm is developed that transforms any given 2-D PSV FM system to its equivalent 'Kiok-Neon' model. 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.
Original language | English (US) |
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Pages | 117-119 |
Number of pages | 3 |
State | Published - 1996 |
Externally published | Yes |
Event | Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA Duration: Oct 23 1995 → Oct 26 1995 |
Other
Other | Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) |
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City | Washington, DC, USA |
Period | 10/23/95 → 10/26/95 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering