Double Stochastic Filtration of Spatially Inhomogeneous Images

—The representation of spatially inhomogeneous images using double stochastic autoregressive models is considered. The possibility of synthesizing semicausal double stochastic image filtering algorithms based on such models is shown. Variants for reducing the computational costs required to implemen...

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Bibliographic Details
Published in:Journal of communications technology & electronics 2020-05, Vol.65 (5), p.524-531
Main Authors: Vasiliev, K. K., Dementyev, V. E.
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Autoregressive models
Communications Engineering
Engineering
Equipment and supplies
Image filters
Image processing
Networks
Theory and Methods of Signal Processing
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Summary:—The representation of spatially inhomogeneous images using double stochastic autoregressive models is considered. The possibility of synthesizing semicausal double stochastic image filtering algorithms based on such models is shown. Variants for reducing the computational costs required to implement double stochastic filters using cascades of moving windows are considered. A comparative analysis of the proposed algorithms with well-known counterparts is carried out, confirming the practical possibility of using double stochastic filters for processing real two-dimensional images.
ISSN:1064-2269
1555-6557
DOI:10.1134/S1064226920040099