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  High Dynamic Range Imaging Pipeline: Perception-motivated Representation of Visual Content

Mantiuk, R., Krawczyk, G., Mantiuk, R., & Seidel, H.-P. (2007). High Dynamic Range Imaging Pipeline: Perception-motivated Representation of Visual Content. In B. E. Rogowitz, T. N. Pappas, & S. J. Daly (Eds.), Human Vision and Electronic Imaging XII (pp. 649212.1-12). Bellingham, WA, USA: SPIE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1F6A-B Version Permalink: https://hdl.handle.net/21.11116/0000-000F-50AC-5
Genre: Conference Paper

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 Creators:
Mantiuk, Rafał1, Author
Krawczyk, Grzegorz2, Author           
Mantiuk, Radoslaw2, Author           
Seidel, Hans-Peter2, Author                 
Affiliations:
1Max Planck Society, ou_persistent13              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: The advances in high dynamic range (HDR) imaging, especially in the
display and camera technology, have a significant impact on the
existing imaging systems. The assumptions of the traditional
low-dynamic range imaging, designed for paper print as a major output
medium, are ill suited for the range of visual material that is shown
on modern displays. For example, the common assumption that the
brightest color in an image is white can be hardly justified for high
contrast LCD displays, not to mention next generation HDR displays,
that can easily create bright highlights and the impression of
self-luminous colors. We argue that high dynamic range representation
can encode images regardless of the technology used to create and
display them, with the accuracy that is only constrained by the
limitations of the human eye and not a particular output medium. To
facilitate the research on high dynamic range imaging, we have created
a software package (http://pfstools.sourceforge.net/), capable of
handling HDR data on all stages of image and video processing. The
software package is available as open source under the General Public
License and includes solutions for high quality image acquisition from
multiple exposures, a range of tone mapping algorithms and a visual
difference predictor for HDR images. We demonstrate how particular
elements of the imaging pipeline can be interfaced using standard
features of the operating system. Examples of shell scripts
demonstrate how the software can be used for processing single images
as well as video sequences.

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Language(s): eng - English
 Dates: 2008-03-142007
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 356611
DOI: 10.1117/12.713526
Other: Local-ID: C12573CC004A8E26-1391CD1854A6F5ADC125722F0039893D-Mantiuk2007spie
BibTex Citekey: Mantiuk-et-al_HVEI
 Degree: -

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Title: Human Vision and Electronic Imaging XII
Place of Event: San Jose, CA, USA
Start-/End Date: 2007-01-29 - 2007-02-01

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Source 1

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Title: Human Vision and Electronic Imaging XII
Source Genre: Proceedings
 Creator(s):
Rogowitz, Bernice E., Editor
Pappas, Thrasyvoulos N., Editor
Daly, Scott J., Editor
Affiliations:
-
Publ. Info: Bellingham, WA, USA : SPIE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 649212.1 - 12 Identifier: ISBN: 9780819466051

Source 2

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Title: SPIE
Source Genre: Series
 Creator(s):
Rogowitz, Bernice E.1, Editor
Pappas, Thrasyvoulos N.1, Editor
Daly, Scott J.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: -
Pages: - Volume / Issue: 6492 Sequence Number: - Start / End Page: - Identifier: -