Abstract
This Paper Shows that, under Certain Weak Restrictions, a Two-Dimensional Discrete Markov Process Can Be Represented Either "Causally" by a One-Sided Difference Equation, or "Non causally" by a Multiple-Sided Difference Equation. the Former Representation is Pertinent to the Analysis of Image Coders and Processors that Operate Sequentially on Scanned Image Data. the Latter Representation is Applicable to the Analysis of Block Coders and Processors. the General Relation between the Two Representations is Given and the Specialized Forms Resulting under Separable Scene Covariance Studied. Copyright © 1976 by the Institute of Electrical and Electronics Engineers. Inc.
Recommended Citation
J. A. Stuller, "Two-Dimensional Markov Representations of Sampled Images," IEEE Transactions on Communications, vol. 24, no. 10, pp. 1148 - 1152, Institute of Electrical and Electronics Engineers, Jan 1976.
The definitive version is available at https://doi.org/10.1109/TCOM.1976.1093216
Department(s)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
0090-6778
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 1976
