Prediction of perceived image quality by mobile device users
Close
Conţinutul numărului revistei
Articolul precedent
Articolul urmator
824 10
Ultima descărcare din IBN:
2023-10-06 11:07
Căutarea după subiecte
similare conform CZU
531.8 (3)
Theory of machines. Technical mechanics in general (3)
SM ISO690:2012
ZOREA, Pinchas, PALADI, Florentin, BRAGARU, Tudor. Prediction of perceived image quality by mobile device users. In: Moldavian Journal of the Physical Sciences, 2018, nr. 3-4(17), pp. 217-227. ISSN 1810-648X. DOI: https://doi.org/10.5281/zenodo.4019737
EXPORT metadate:
Google Scholar
Crossref
CERIF

DataCite
Dublin Core
Moldavian Journal of the Physical Sciences
Numărul 3-4(17) / 2018 / ISSN 1810-648X /ISSNe 2537-6365

Prediction of perceived image quality by mobile device users

DOI:https://doi.org/10.5281/zenodo.4019737
CZU: 531.8

Pag. 217-227

Zorea Pinchas12, Paladi Florentin21, Bragaru Tudor12
 
1 Moldova State University,
2 ORT Braude Engineering college, Karmiel
 
 
Disponibil în IBN: 31 ianuarie 2019


Rezumat

This paper provides an overview of the PhD research of perceived image quality (PIQ) assessment, which has a great potential for image processing in many applications. The outcome of this research can be used by smartphone vendors in order to shorten “time to market,” or by any image quality experts, particularly in the academia, to reduce the time and cost of PIQ assessment of smartphones with a small high-definition display. The method can be implemented in a software if it is embedded in the social network websites to predict and improve the image quality as perceived by the users in real time. The research was based on no reference (NR) PIQ evaluation experiments combined with the VIQET software application. The experiments include human visual tests (HVTs) for subjective image quality assessment. The results of HVTs analysis identify the most effective image quality attributes for perceived image quality. The VIQET software tool was calibrated according to the HVTs scores.