Neural networks as a relevant and effective tool for image restoration. A study of the “super resolution” image restoration algorithm

One of the key challenges facing innovative technologies from the information field is image processing. One of the main and most breakthrough methods is image processing based on artificial neural networks. Artificial neural networks are an advanced achievement of mankind in the field of informatio...

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Main Authors: Ishmukhametova, A., Usmanov, R.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Artificial neural networks
Image processing
Image reconstruction
Image restoration
Neural networks
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Usmanov, R.
description One of the key challenges facing innovative technologies from the information field is image processing. One of the main and most breakthrough methods is image processing based on artificial neural networks. Artificial neural networks are an advanced achievement of mankind in the field of information technology, which allows us to solve various difficult-to-calculate problems most effectively. The main purpose of this paper is to study the role of artificial neural networks in image processing, as well as a particular algorithm from this field. This article discusses various aspects of the use of artificial neural networks in image reconstruction. The problem of the presented article is the high need for the implementation of an effective image recovery algorithm based on intelligent tools, in particular artificial neural networks. The author proposes a modification of the "Super- resolution" algorithm by integrating the sparse coding method.
doi_str_mv 10.1063/5.0076420
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source American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)
subjects Algorithms
Artificial neural networks
Image processing
Image reconstruction
Image restoration
Neural networks
title Neural networks as a relevant and effective tool for image restoration. A study of the “super resolution” image restoration algorithm
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