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Computer Optics, 2019, Volume 43, Issue 4, Pages 627–631 (Mi co686)  

IMAGE PROCESSING, PATTERN RECOGNITION

Adaptive ANN-based method of constructing an interpolation formula for doubling the image size

S. E. Vaganov

Ivanovo State University, Ivanovo, Russia

Abstract: The architecture of an artificial neural network that solves the problem of constructing interpolation formulas for doubling the size of images is proposed. The trained model receives a 4x4 matrix as an argument. The result is an interpolation formula represented as a weight vector for 4 points.
A comparison of the main quality assessments of the proposed method with some well-known adaptive approaches is made. The results of the comparative analysis show that the proposed approach has a better interpolation quality than NEDI and DCCI methods.

Keywords: interpolation, machine learning, artificial neural network, gradient descent, image quality.

DOI: https://doi.org/10.18287/2412-6179-2019-43-4-627-631

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Full text: http://www.computeroptics.smr.ru/.../430415.html
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Received: 12.02.2019
Accepted:25.07.2019

Citation: S. E. Vaganov, “Adaptive ANN-based method of constructing an interpolation formula for doubling the image size”, Computer Optics, 43:4 (2019), 627–631

Citation in format AMSBIB
\Bibitem{Vag19}
\by S.~E.~Vaganov
\paper Adaptive ANN-based method of constructing an interpolation formula for doubling the image size
\jour Computer Optics
\yr 2019
\vol 43
\issue 4
\pages 627--631
\mathnet{http://mi.mathnet.ru/co686}
\crossref{https://doi.org/10.18287/2412-6179-2019-43-4-627-631}


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