Image modeling based on a 2-D stochastic subspace system identification algorithm

DOI10.1007/s11045-016-0385-4zbMath1381.93099OpenAlexW2281163469MaRDI QIDQ1697944

José A. Ramos, Guillaume Mercère

Publication date: 21 February 2018

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-016-0385-4

zbMATH Keywords

image modeling2-D Roesser model2-D stochastic realization theory2-D subspace system identification

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Identification in stochastic control theory (93E12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) White noise theory (60H40) Stochastic systems in control theory (general) (93E03)

Related Items

Discrete Roesser state models from 2D frequency data ⋮ On the stability and the stabilization of linear discrete repetitive processes ⋮ A stochastic subspace system identification algorithm for state-space systems in the general 2-D Roesser model form

Uses Software

• SIPI Image Database

Cites Work

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