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Neural Network Technology for Image Downscaling

Roman Tytyk
Roman Tkachenko
Ivan Izonin ivanizonin [at] gmail.com
Kateryna Hrytsyk
  1. Publishing Information Technology Department, Lviv Polytechnic National University, UKRAINE, Lviv, S. Bandery street 12
Abstract 

In this paper described for the first time neural network technology developed to zoom out images scale. The developed method uses a neural structure model geometric transformations to establish the connections between frames pairs of images of high and low resolution. Adjusted so in the learning process synaptic scales allow to change the scale of images of one class without substantial loss of quality

Keywords 
frame processing
resolution
reduce the image
machine learning
neural-like structure
model of geometric transformations
References 

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[2] Tkachenko R. Accelerated learning of multilayered neural networks on tha base of the new paradigma / R Tkachenko // Neural networks and their applications: proc. of intern. conf., Kule, Poland, 21-23 April 1997. – Kule, 1997. – P. 129-130.
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