Objectification of perceptual image quality for mobile video

Seon-oh Lee; Dong-Gyu Sim

doi:10.1117/1.3592516

1 June 2011 Objectification of perceptual image quality for mobile video

Seon-oh Lee, Dong-Gyu Sim

Author Affiliations +

Optical Engineering, Vol. 50, Issue 6, 067404 (June 2011). https://doi.org/10.1117/1.3592516

Abstract

This paper presents an objective video quality evaluation method for quantifying the subjective quality of digital mobile video. The proposed method aims to objectify the subjective quality by extracting edgeness and blockiness parameters. To evaluate the performance of the proposed algorithms, we carried out subjective video quality tests with the double-stimulus continuous quality scale method and obtained differential mean opinion score values for 120 mobile video clips. We then compared the performance of the proposed methods with that of existing methods in terms of the differential mean opinion score with 120 mobile video clips. Experimental results showed that the proposed methods were approximately 10% better than the edge peak signal-to-noise ratio of the J.247 method in terms of the Pearson correlation.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Seon-oh Lee and Dong-Gyu Sim "Objectification of perceptual image quality for mobile video," Optical Engineering 50(6), 067404 (1 June 2011). https://doi.org/10.1117/1.3592516

Published: 1 June 2011

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available