About

M.E.G.A

The aim of this project is to develop the model for production efficiency increase and functionality of packaging. This goal will be achieved by conducting the activities which could be divided in four main groups: - development and evaluation of the grey colour replacement (GCR) method - development of the method for implementing digital watermark as a mean to enable graphic reproduction protection - characterization of graphic materials and development of functional coatings and their impact on the multicolour graphic reproduction - development and evaluation of the mathematical model which will make connection between influence of the digital image modulation and material's characteristics and prints refining on it's mechanical properties and visual perception.
Motivation
The results of this research will contribute to the increase of the packaging production competitiveness, but simultaneously increase packaging functionality by implementing protecting elements in the image and material refinement to increase it's mechanical properties and visual perception. In addition, conducting of this project proposal will enable development of the research capacity by introducing young researchers into the research processes and specialization through finishing the PhD study, preparing research papers and presenting them at scientific conferences where they will be involved in discussions with researchers in the field.
NEWS
Team
Tomislav Cigula
Project Leader
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Tomislav Hudika
Junior Resercher
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Ante Poljicak
Senior Resercher
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Davor Donevski
Senior Resercher
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Marija Prsa
Senior Resercher
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Tamara Tomasegovic
Senior Resercher
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Publications

Applicability of TensorFlow environment in colorimetric analysis

TensorFlow environment gained a lot of momentum in recent years due to the increasing need for a fast, flexible and open source solution for a high performance numerical computation. Developed by Google Brain team, TensorFlow supports machine and deep learning across different industries. In this paper, TensorFlow is tested using colorimetric data and compared with […]

M.E.G.A Project

University of Zagreb, Facluty of Graphic Arts
+385 1 2371 080 
mega@grf.hr