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Author, Editor

Author(s):

Mantiuk, Rafał
Myszkowski, Karol
Seidel, Hans-Peter

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Editor(s):

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

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Not MPII Editor(s):

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

BibTeX cite key*:

Mantiuk2005:LossyCompression

Title, Booktitle

Title*:

Lossy compression of high dynamic range images and video


mantiuk06hdrencoding.pdf (307.12 KB)

Booktitle*:

Human Vision and Electronic Imaging XI

Event, URLs

URL of the conference:


URL for downloading the paper:

http://link.aip.org/link/?PSI/6057/60570V/1

Event Address*:

San Jose, USA

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

15 January 2006

Event End Date:

19 January 2006

Publisher

Name*:

SPIE

URL:

http://www.spie.org/

Address*:

Bellingham, USA

Type:


Vol, No, Year, pp.

Series:

SPIE

Volume:

6057

Number:


Month:

February

Pages:

60570V

Year*:

2006

VG Wort Pages:

23

ISBN/ISSN:


Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

Most common image and video formats have been designed to work with
existing output devices, like LCD or CRT monitors. As display
technology makes progress, these formats no longer represent the
data that new devices can display. Therefore a shift towards higher
precision image and video formats is imminent.

To overcome limitations of common image and video formats, such as
JPEG, PNG or MPEG, we propose a novel color space, which can
accommodate an extended dynamic range and guarantees the precision
that is below the visibility threshold. The proposed color space,
which is derived from contrast detection data, can represent the
full range of luminance values and the complete color gamut that is
visible to the human eye. We show that only minor changes are
required to the existing encoding algorithms to accommodate the new
color space and therefore greatly enhance information content of the
visual data. We demonstrate this with two compression algorithms for
High Dynamic Range (HDR) visual data: for static images and for
video. We argue that the proposed HDR representation is a simple and
universal way to encode visual data independent of the display or
capture technology.

Keywords:

color space, transfer function, luminance quantization, perceptually uniform color space, high dynamic range, HDR, image compression, video compression, contrast detection



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:LossyCompression,
AUTHOR = {Mantiuk, Rafał and Myszkowski, Karol and Seidel, Hans-Peter},
EDITOR = {Rogowitz, Bernice E. and Pappas, Thrasyvoulos N. and Daly, Scott J.},
TITLE = {Lossy compression of high dynamic range images and video},
BOOKTITLE = {Human Vision and Electronic Imaging XI},
PUBLISHER = {SPIE},
YEAR = {2006},
VOLUME = {6057},
PAGES = {60570V},
SERIES = {SPIE},
ADDRESS = {San Jose, USA},
MONTH = {February},
}


Entry last modified by Karol Myszkowski, 01/02/2008
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Editor(s)
Rafal Mantiuk
Created
03/21/2006 10:56:35 AM
Revisions
4.
3.
2.
1.
0.
Editor(s)
Karol Myszkowski
Karol Myszkowski
Christine Kiesel
Christine Kiesel
Christine Kiesel
Edit Dates
01/02/2008 03:55:09 PM
01/02/2008 03:54:41 PM
03.03.2007 15:19:45
25.02.2007 17:01:27
03/21/2006 10:56:35 AM
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