Neural network technology for image downscaling

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dc.citation.conferenceLitteris et Artibus
dc.contributor.affiliationLviv Polytechnic National Universityuk_UA
dc.contributor.authorTytyk, Roman
dc.contributor.authorTkachenko, Roman
dc.contributor.authorIzonin, Ivan
dc.contributor.authorHrytsyk, Kateryna
dc.coverage.countryUAuk_UA
dc.coverage.placenameLvivuk_UA
dc.date.accessioned2018-03-02T15:02:51Z
dc.date.available2018-03-02T15:02:51Z
dc.date.issued2015
dc.description.abstractIn 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.uk_UA
dc.format.pages72-73
dc.identifier.citationNeural network technology for image downscaling / Roman Tytyk, Roman Tkachenko, Ivan Izonin, Kateryna Hrytsyk // Litteris et Artibus : proceedings of the 5th International youth science forum, November 26–28, 2015, Lviv, Ukraine / Lviv Polytechnic National University. – Lviv : Lviv Polytechnic Publishing House, 2015. – P. 72–73. – Bibliography: 4 titles.uk_UA
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/39502
dc.publisherLviv Polytechnic Publishing Houseuk_UA
dc.relation.referencesen[1] Izonin I. Learning-based image super-resolution using weight coefficients of synaptic connections / Ivan Izonin, Roman Tkachenko, Dmytro Peleshko, Taras Rak, Danylo Batyuk // Computer science and information technologies: proc. of X intern. scien. and techn. conf., Lviv, Ukraine, 14-17 Sep. 2015. – Lviv: Lviv Polytechnic Publishing House, 2015. – P. 25-29. [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. [3] Peleshko D. Analysis of invariant moments in tasks image processing / D.Peleshko, M. Peleshko, N. Kustra, I. Izonin // The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM): proc. of intern. conf., Polyana-Svalyava, (Zakarpattya), Ukraine, 23-25 Feb. 2011. – Lviv: Publishing House Vezha&Co, 2011. – P. 263-264. [4] Andriyetskyy B. Geometrical transformation machine in unsupervised learning mode. / Bohdan Andriyetskyy, Uliana Polishchuk, Oleh Kulynsky // Perspective technologies and methods in MEMS design: proc. of intern. sciet. and techn. conf., », Polyana, 16 – 20 April 2013. – Publishing house LPNU, 2006. – P. 87-88.uk_UA
dc.subjectframe processinguk_UA
dc.subjectresolutionuk_UA
dc.subjectreduce the imageuk_UA
dc.subjectmachine learninguk_UA
dc.subjectneural-like structureuk_UA
dc.subjectmodel of geometric transformationsuk_UA
dc.titleNeural network technology for image downscalinguk_UA
dc.typeConference Abstractuk_UA

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Litteris et Artibus. – 2015 р.