Intellectual image noise reduction algorithm

S.N. Zagoruyko¹, P.V. Skribtsov²

research article Pages: 38-41

¹ программист-математик, ООО «ПАВЛИН Техно»
² к.т.н., ген. директор, ООО «ПАВЛИН Техно»

Keywords: image enhancing image denoising noise filtering markov networks belief propagation binomial probability neural networks

Abstract

New intellectual image noise reduction algorithm based on Markov networks is announced. For states generation linear and neural models are used. For state probability estimation binomial distribution is used. Announced algorithm is able to perform image noise reduction preserving details.

How to cite

Загоруйко С.Н., Скрибцов П.В. Интеллектуальный алгоритм уменьшения зашумленности изображений // Нейрокомпьютеры: разработка, применение. 2013. № 8. С. 38–41.

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