Laplacian colormaps: a framework for structure-preserving color transformations

Mappings between color spaces are ubiquitous in image processing problems such as gamut mapping, decolorization, and image optimization for color‐blind people. Simple color transformations often result in information loss and ambiguities, and one wishes to find an image‐specific transformation that...

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Bibliographic Details

Published in:	Computer graphics forum Vol. 33; no. 2; pp. 215 - 224
Main Authors:	Eynard, D., Kovnatsky, A., M. Bronstein, M.
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.05.2014
Subjects:	Analysis Categories and Subject Descriptors (according to ACM CCS) Color Computer graphics Conversion I.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithms I.4.10 [Image processing and computer vision]: Image Representations-Multidimensional I.4.3 [Image processing and computer vision]: Enhancement-Grayscale manipulations Image processing Laplace transforms Mapping Optimization Preserves Studies Transformations
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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