Delicate visual artifacts of advanced digital video processing algorithms

Marina M. Nicolas; Fritz Lebowsky

doi:10.1117/12.587604

18 March 2005 Delicate visual artifacts of advanced digital video processing algorithms

Marina M. Nicolas, Fritz Lebowsky

Author Affiliations +

Proceedings Volume 5666, Human Vision and Electronic Imaging X; (2005) https://doi.org/10.1117/12.587604
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

With the incoming of digital TV, sophisticated video processing algorithms have been developed to improve the rendering of motion or colors. However, the perceived subjective quality of these new systems sometimes happens to be in conflict with the objective measurable improvement we expect to get. In this presentation, we show examples where algorithms should visually improve the skin tone rendering of decoded pictures under normal conditions, but surprisingly fail, when the quality of mpeg encoding drops below a just noticeable threshold. In particular, we demonstrate that simple objective criteria used for the optimization, such as SAD, PSNR or histogram sometimes fail, partly because they are defined on a global scale, ignoring local characteristics of the picture content. We then integrate a simple human visual model to measure potential artifacts with regard to spatial and temporal variations of the objects' characteristics. Tuning some of the model's parameters allows correlating the perceived objective quality with compression metrics of various encoders. We show the evolution of our reference parameters in respect to the compression ratios. Finally, using the output of the model, we can control the parameters of the skin tone algorithm to reach an improvement in overall system quality.

Citation Download Citation

Marina M. Nicolas and Fritz Lebowsky "Delicate visual artifacts of advanced digital video processing algorithms", Proc. SPIE 5666, Human Vision and Electronic Imaging X, (18 March 2005); https://doi.org/10.1117/12.587604

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