Realization and performance evaluation of a class of image models for recursive restoration problems

DOI10.1080/00207729108910810zbMath0741.93072OpenAlexW2130451767WikidataQ113095148 ScholiaQ113095148MaRDI QIDQ3986088

Leopoldo Jetto, M. A. Bedini

Publication date: 27 June 1992

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729108910810

zbMATH Keywords

recursive strip filtering

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11)

Related Items (1)

Unnamed Item

Cites Work

• Two-dimensional linear systems
• Image modeling and restoration: A new approach
• Partial differential equations and finite-difference methods in image processing. I: Image representation
• Estimation and identification of two-dimensional images
• Self-tuning filters and predictors for two-dimensional systems Part 1: Algorithms
• Accurate derivative estimation from noisy data: a state-space approach
• An Edge-Preserving Recursive Noise-Smoothing Algorithm for Image Data
• Restoration of Noisy Images Using a Two-Dimensional Linear Model
• A discrete state-space model for linear image processing
• State-space realization theory of two-dimensional filters
• Two-Dimensional Markov Representations of Sampled Images
• Kalman filtering in two dimensions
• Smoothing Algorithms for Two-Dimensional Image Processing
• Recursive causal linear filtering for two-dimensional random fields
• Image Restoration, Modelling, and Reduction of Dimensionality
• Modeling of two-dimensional covariance functions with application to image restoration

This page was built for publication: Realization and performance evaluation of a class of image models for recursive restoration problems