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Image Quality Assessment - Comparison of Objective Measures with Results of Subjective Test


Zarić, Anđela; Lončarić, Matej; Tralić, Dijana; Brzica, Maja; Dumić, Emil; Grgić, Sonja
Image Quality Assessment - Comparison of Objective Measures with Results of Subjective Test // Proceedings of the 52nd International Symposium ELMAR-2010 / Grgić, Mislav ; Božek, Jelena ; Grgić, Sonja (ur.).
Zagreb: Croatian Society Electronics in Marine, 2010. str. 113-118 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Image Quality Assessment - Comparison of Objective Measures with Results of Subjective Test

Autori
Zarić, Anđela ; Lončarić, Matej ; Tralić, Dijana ; Brzica, Maja ; Dumić, Emil ; Grgić, Sonja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 52nd International Symposium ELMAR-2010 / Grgić, Mislav ; Božek, Jelena ; Grgić, Sonja - Zagreb : Croatian Society Electronics in Marine, 2010, 113-118

ISBN
978-953-7044-11-4

Skup
International Symposium ELMAR

Mjesto i datum
Zadar, Hrvatska, 15.-17.09.2010

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
JPEG; Blur; Gaussian Noise; SSIM; MSE; MOS

Sažetak
Image quality assessment is a challenging task that is traditionally approached by computational models. To maintain, control, and enhance the quality of images, it is important for image acquisition, management, communication, and processing systems to be able to identify and quantify image quality degradations. A great deal of effort has been made in recent years to develop objective image quality metrics that correlate with perceived quality measurement. To find the right solution to this problem we need measures to estimate quality and amounts of degradation compared with original image to determinate optimal quality of the coded picture. This paper provides comparison of subjective and objective picture quality for three different distortions, each made with four different levels of distortion.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
036-0361630-1635 - Upravljanje kvalitetom slike u radiodifuziji digitalnog videosignala (Sonja Grgić, )
036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Mislav Grgić, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb