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  A perceptual framework for contrast processing of high dynamic range images

Mantiuk, R., Myszkowski, K., & Seidel, H.-P. (2005). A perceptual framework for contrast processing of high dynamic range images. In APGV '05: Proceedings of the 2nd symposium on Appied perception in graphics and visualization (pp. 87-94). New York, USA: ACM.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-25BB-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-25BC-D
Genre: Conference Paper

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 Creators:
Mantiuk, Rafal1, Author           
Myszkowski, Karol1, Author           
Seidel, Hans-Peter1, Author           
Malik, Jitendra, Editor
Koenderink, Jan J., Editor
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1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: In this work we propose a framework for image processing in a visual response space, in which contrast values directly correlate with their visibility in an image. Our framework involves a transformation of an image from luminance space to a pyramid of low-pass contrast images and then to the visual response space. After modifying response values, the transformation can be reversed to produce the resulting image. To predict the visibility of suprathreshold contrast, we derive a transducer function for the full range of contrast levels that can be found in High Dynamic Range images. We show that a complex contrast compression operation, which preserves textures of small contrast, is reduced to a linear scaling in the proposed visual response space.

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Language(s): eng - English
 Dates: 2006-04-252005
 Publication Status: Issued
 Pages: -
 Publishing info: New York, USA : ACM
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 278998
Other: Local-ID: C125675300671F7B-C07FBDA152C52871C12570700034B914-mantiuk2004::contrast
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Title: Untitled Event
Place of Event: Coruna, Spain
Start-/End Date: 2005-08-26

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Title: APGV '05: Proceedings of the 2nd symposium on Appied perception in graphics and visualization
Source Genre: Proceedings
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Publ. Info: New York, USA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 87 - 94 Identifier: ISBN: 1-59593-139-2