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Author, Editor(s)

Author(s):

Herzog, Robert
Čadík, Martin
Aydin, Tunç
Kim, Kwang-In
Myszkowski, Karol
Seidel, Hans-Peter

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Not MPG Author(s):

Aydin, Tunç

BibTeX cite key*:

NoRM_EG2012

Title

Title*:

NoRM: No-Reference Image Quality Metric for Realistic Image Synthesis


norm.pdf (23798.59 KB)

Journal

Journal Title*:

Computer Graphics Forum (Proceedings EUROGRAPHICS 2012)

Journal's URL:


Download URL
for the article:

http://www.mpi-inf.mpg.de/resources/hdr/norm/norm.pdf

Language:

English

Publisher

Publisher's
Name:

Blackwell Publishing Ltd

Publisher's URL:


Publisher's
Address:

Oxford, UK

ISSN:

0167-7055

Vol, No, pp, Date

Volume*:

31

Number:

2

Publishing Date:

2012

Pages*:

545-554

Number of
VG Pages:


Page Start:

545

Page End:

554

Sequence Number:


DOI:


Note, Abstract, ©

Note:


(LaTeX) Abstract:

Synthetically generating images and video frames of complex 3D scenes using some photo-realistic rendering software is often prone to artifacts and requires expert knowledge to tune the parameters. The manual work required for detecting and preventing artifacts can be automated through objective quality evaluation of synthetic images.
Most practical objective quality assessment methods of natural images rely on a ground-truth reference, which is often not available in rendering applications. While general purpose no-reference image quality assessment is a difficult problem, we show in a subjective study that the performance of a dedicated no-reference metric as presented in this paper can match the state-of-the-art metrics that do require a reference. This level of predictive power is achieved exploiting information about the underlying synthetic scene (e.g., 3D surfaces, textures) instead
of merely considering color, and training our learning framework with typical rendering artifacts. We show that our method successfully detects various non-trivial types of artifacts such as noise and clamping bias due to insufficient virtual point light sources, and shadow map discretization artifacts. We also briefly discuss an inpainting method for automatic correction of detected artifacts.

URL for the Abstract:


Categories,
Keywords:

Image Quality Assessment, No-Reference Quality Metric, Realistic Image Synthesis

HyperLinks / References / URLs:

http://www.mpi-inf.mpg.de/resources/hdr/norm/

Copyright Message:


Personal Comments:


Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

Audience:

popular

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:

@ARTICLE{NoRM_EG2012,
AUTHOR = {Herzog, Robert and Čad{\'i}k, Martin and Aydin, Tunç and Kim, Kwang-In and Myszkowski, Karol and Seidel, Hans-Peter},
EDITOR = {Cignoni, P. and Ertl, T.},
TITLE = {{NoRM}: No-Reference Image Quality Metric for Realistic Image Synthesis},
BOOKTITLE = {Computer Graphics Forum (Proc. of EUROGRAPHICS)},
JOURNAL = {Computer Graphics Forum (Proceedings EUROGRAPHICS 2012)},
PUBLISHER = {Blackwell Publishing Ltd},
YEAR = {2012},
ORGANIZATION = {Eurographics Association},
NUMBER = {2},
VOLUME = {31},
PAGES = {545--554},
ADDRESS = {Cagliari, Italy},
ISBN = {0167-7055},
}


Entry last modified by Karol Myszkowski, 10/07/2013
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Editor(s)
Robert Herzog
Created
07/26/2012 03:40:58 PM
Revisions
9.
8.
7.
6.
5.
Editor(s)
Karol Myszkowski
Anja Becker
Uwe Brahm
Oliver Klehm
Oliver Klehm
Edit Dates
10/07/2013 06:34:27 PM
04.04.2013 12:20:58
02/12/2013 05:06:39 PM
02/12/2013 04:21:13 PM
07.02.2013 12:59:00
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