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Image-dependent gamut mapping as optimization problem

delete2007-10-01
delete24
PRE
AI
J
Joachim Giesen *
E
Eva Schuberth
K
Klaus Simon
P
Peter Zolliker
O
Oliver Zweifel
DOI：10.1109/TIP.2007.904455delete
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Abstract

Abstract

En 中文
We explore the potential of image-dependent gamut mapping as a constrained optimization problem. The performance of our new approach is compared to standard reference gamut mapping algorithms in psycho-visual tests.
Keywords:
convex quadratic program
gamut mapping
image-to-device
psycho-visual tests
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AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
IF:
13.7
Papers:
1.0W
Citations:
8.4W

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No organization information available