No reference perceptual quality metrics: approaches and limitations

David Hands; Damien Bayart; Andrew Davis; Alex Bourret

doi:10.1117/12.805386

10 February 2009 No reference perceptual quality metrics: approaches and limitations

David Hands, Damien Bayart, Andrew Davis, Alex Bourret

Proceedings Volume 7240, Human Vision and Electronic Imaging XIV; 72400Y (2009) https://doi.org/10.1117/12.805386
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

To predict subjective quality it is necessary to develop and validate approaches that accurately predict video quality. For perceptual quality models, developers have implemented methods that utilise information from both the original and the processed signals (full reference and reduced reference methods). For many practical applications, no reference (NR) methods are required. It has been a major challenge for developers to produce no reference methods that attain the necessary predictive performance for the methods to be deployed by industry. In this paper, we present a comparison between no reference methods operating on either the decoded picture information alone or using a bit-stream / decoded picture hybrid analysis approach. Two NR models are introduced: one using decoded picture information only; the other using a hybrid approach. Validation data obtained from subjective quality tests are used to examine the predictive performance of both models. The strengths and limitations of the two NR methods are discussed.

Citation Download Citation

David Hands, Damien Bayart, Andrew Davis, and Alex Bourret "No reference perceptual quality metrics: approaches and limitations", Proc. SPIE 7240, Human Vision and Electronic Imaging XIV, 72400Y (10 February 2009); https://doi.org/10.1117/12.805386

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