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

S.E. Vaganov1

1 Ivanovo State University, Ivanovo, Russia

 PDF, 939 kB

DOI: 10.18287/2412-6179-2019-43-4-627-631

Pages: 627-631.

Full text of article: Russian language.

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 4×4 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

Citation:
Vaganov S. Adaptive ANN-based method of constructing an interpolation formula for doubling the image size. Computer Optics 2019, 43(4): 627-631. DOI: 10.18287/2412-6179-2019-43-4-627-631.

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