日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

会議論文

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

MPS-Authors

Mantiuk,  Rafał
Max Planck Society;

/persons/resource/persons44842

Krawczyk,  Grzegorz
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44985

Mantiuk,  Radoslaw
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45449

Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

External Resource
There are no locators available
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
フルテキスト (公開)
公開されているフルテキストはありません
付随資料 (公開)
There is no public supplementary material available
引用

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.


引用: https://hdl.handle.net/11858/00-001M-0000-000F-1F6A-B
要旨
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.