Processing spatially inhomogeneous images with a double stochastic filter

V.E. Dementiev

Processing spatially inhomogeneous images with a double stochastic filter

research article UDC 621.391.2 Pages: 24-28

¹ Ph.D.(Eng.), Associate Professor, Department «Telecommunications», Ulyanovsk State Technical University

Keywords: autoregression random fields satellite images random processes nonlinear filtering Kalman filter doubly stochastic model parameter estimation

Abstract

The problem of filtering satellite non-uniform images using the recurrent nonlinear filters obtained on the basis of a doubly stochastic autoregressive model is considered. The analysis of the obtained filtering algorithms is performed. A significant advantage of the proposed procedures is shown in comparison with the Kalman and Wiener filters.

How to cite

Дементьев В.Е. Обработка пространственно-неоднородных изображений с помощью дважды стохастического фильтра // Радиотехника. 2018. № 6. С. 24–28.

References

Gonsales R., Vuds R. Czifrovaya obrabotka izobrazhenij. Izd.3-e. M.: Texnosfera. 2012. 1104 s.
Vasil’ev K.K., Krasheninnikov V.R. Statisticheskij analiz izobrazhenij. Ul’yanovsk: UlGTU. 2014. 214 s.
Vasil’ev K.K. Optimal’naya obrabotka signalov v diskretnom vremeni. M.: Radiotexnika. 2016. 282 s.
Vasil'ev K.K., Dement'ev V.E., Andriyanov N.A. Application of mixed models for solving the problem on restoring and estimating image parameters // Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2016. V. 26. № 1. P. 240−247.
Vasiliev K.K., Dementiev V.E., Andriyanov N.A. Filtration and restoration of satellite images using doubly stochastic random fields // CEUR Workshop Proceedings. 2017. V. 1814. P. 10−20.
Dement’ev V.E. Primenenie dvazhdy’ stoxasticheskix avtoregressionny’x modelej dlya obrabotki sputnikovy’x izobrazhenij // Radiotexnika. 2017. № 6. S. 18−22.
Paliy D., Foi A., Bilcu R., Katkovnik V. Denoising and Interpolation of Noisy Bayer Data with Adaptive Cross-Color Filters // SPIE-IS&T Electronic Imaging, Visual Communications and Image Processing. January 2008. V. 6822. San Jose. CA.

[1] Gonsales R., Vuds R. Czifrovaya obrabotka izobrazhenij. Izd.3-e. M.: Texnosfera. 2012. 1104 s.

[2] Vasil’ev K.K., Krasheninnikov V.R. Statisticheskij analiz izobrazhenij. Ul’yanovsk: UlGTU. 2014. 214 s.

[3] Vasil’ev K.K. Optimal’naya obrabotka signalov v diskretnom vremeni. M.: Radiotexnika. 2016. 282 s.

[4] Vasil'ev K.K., Dement'ev V.E., Andriyanov N.A. Application of mixed models for solving the problem on restoring and estimating image parameters // Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2016. V. 26. № 1. P. 240−247.

[5] Vasiliev K.K., Dementiev V.E., Andriyanov N.A. Filtration and restoration of satellite images using doubly stochastic random fields // CEUR Workshop Proceedings. 2017. V. 1814. P. 10−20.

[6] Dement’ev V.E. Primenenie dvazhdy’ stoxasticheskix avtoregressionny’x modelej dlya obrabotki sputnikovy’x izobrazhenij // Radiotexnika. 2017. № 6. S. 18−22.

[7] Paliy D., Foi A., Bilcu R., Katkovnik V. Denoising and Interpolation of Noisy Bayer Data with Adaptive Cross-Color Filters // SPIE-IS&T Electronic Imaging, Visual Communications and Image Processing. January 2008. V. 6822. San Jose. CA.

Abstract

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