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Author, Editor

Author(s):

Mantiuk, Rafał
Daly, Scott J.
Myszkowski, Karol
Seidel, Hans-Peter
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Not MPG Author(s):

Daly, Scott J.

Editor(s):

Rogowitz, Bernice E.
Pappas, Thrasyvoulos N.
Daly, Scott J.
dblp
dblp
dblp
Not MPII Editor(s):

Rogowitz, Bernice E.
Pappas, Thrasyvoulos N.
Daly, Scott J.

BibTeX cite key*:

Mantiuk2005

Title, Booktitle

Title*:

Predicting Visible Differences in High Dynamic Range Images - Model and its Calibration


mantiuk05PredVisDiff.pdf (1746.8 KB)

Booktitle*:

Human Vision and Electronic Imaging X, IS&T/SPIE's 17th Annual Symposium on Electronic Imaging (2005)

Event, URLs

URL of the conference:

http://electronicimaging.org/program/05/

URL for downloading the paper:


Event Address*:

San Jose, California USA
Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

16 January 2005
Event End Date:

20 January 2005

Publisher

Name*:

SPIE

URL:

http://www.spie.org/

Address*:

Bellingham, USA
Type:


Vol, No, Year, pp.

Series:

SPIE Proceedings Series

Volume:

5666
Number:


Month:

January
Pages:

204-214

Year*:

2005
VG Wort Pages:

22

ISBN/ISSN:

0277-786X
Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

New imaging and rendering systems commonly use physically accurate
lighting information in the form of high-dynamic range (HDR) images
and video. HDR images contain actual colorimetric or physical
values, which can span 14 orders of magnitude, instead of 8-bit
renderings, found in standard images. The additional precision and
quality retained in HDR visual data is necessary to display images
on advanced HDR display devices, capable of showing contrast of
50,000:1, as compared to the contrast of 700:1 for LCD displays.
With the development of high-dynamic range visual techniques comes a
need for an automatic visual quality assessment of the resulting
images.

In this paper we propose several modifications to the Visual
Difference Predicator (VDP). The modifications improve the
prediction of perceivable differences in the full visible range of
luminance and under the adaptation conditions corresponding to real
scene observation. The proposed metric takes into account the
aspects of high contrast vision, like scattering of the light in the
optics (OTF), nonlinear response to light for the full range of
luminance, and local adaptation. To calibrate our HDR~VDP we perform
experiments using an advanced HDR display, capable of displaying the
range of luminance that is close to that found in real scenes.

Keywords:

Visual difference metric, high dynamic range, HDR, perception, VDP, contrast sensitivity, CSF, OTF, PSF, local adaptation, tvi



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:

@INPROCEEDINGS{Mantiuk2005,
AUTHOR = {Mantiuk, Rafał and Daly, Scott J. and Myszkowski, Karol and Seidel, Hans-Peter},
 EDITOR = {Rogowitz, Bernice E. and Pappas, Thrasyvoulos N. and Daly, Scott J.},
 TITLE = {Predicting Visible Differences in High Dynamic Range Images - Model and its Calibration},
 BOOKTITLE = {Human Vision and Electronic Imaging X, IS&T/SPIE's 17th Annual Symposium on Electronic Imaging (2005)},
 PUBLISHER = {SPIE},
 YEAR = {2005},
 VOLUME = {5666},
 PAGES = {204--214},
 SERIES = {SPIE Proceedings Series},
 ADDRESS = {San Jose, California USA},
 MONTH = {January},
 ISBN = {0277-786X},
}

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