Image Quality Improvement based on the Prediction Theory
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ZOREA, Pinchas, PALADI, Florentin, BRAGARU, Tudor. Image Quality Improvement based on the Prediction Theory. In: Information Technologies, Systems And Networks, 17-18 octombrie 2017, Chisinau. Chisinau: Editura ULIM, 2017, Volumul 1, pp. 325-337. ISBN 978-9975-45-069-0.
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Information Technologies, Systems And Networks
Volumul 1, 2017
Conferința "Information Technologies, Systems And Networks"
Chisinau, Moldova, 17-18 octombrie 2017

Image Quality Improvement based on the Prediction Theory

CZU: 004.93

Pag. 325-337

Zorea Pinchas1, Paladi Florentin2, Bragaru Tudor2
 
1 ORT Braude Engineering college, Karmiel,
2 Moldova State University
 
 
Disponibil în IBN: 15 martie 2018


Rezumat

People in all ages worldwide capture photos and immediately upload them to social networks. While the smartphones are the vehicles for these communications and the information transportation through what called social networks websites. Networks websites such as Facebook, Instagram, Twitter, and Snapchat as well as the huge growth of smartphones, have become a significant part of our culture and everyday lives. The huge number of photos and videos in social networks happen regardless to the material image quality. This paper proposes a new real-time image quality improvement process, which is based on the results of research evaluating how smartphones users perceived image quality of smartphones’ embedded camera and display. This process is implemented in SW application to be embedded in the social networks websites. That application is one of the outcomes of research on perceived image quality in smartphones.

Cuvinte-cheie
social network, image, Quality, evaluation, human, visual, tests, attribute