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Color2Gray: salience-preserving color removal

Published: 01 July 2005 Publication History

Abstract

Visually important image features often disappear when color images are converted to grayscale. The algorithm introduced here reduces such losses by attempting to preserve the salient features of the color image. The Color2Gray algorithm is a 3-step process: 1) convert RGB inputs to a perceptually uniform CIE L*a*b* color space, 2) use chrominance and luminance differences to create grayscale target differences between nearby image pixels, and 3) solve an optimization problem designed to selectively modulate the grayscale representation as a function of the chroma variation of the source image. The Color2Gray results offer viewers salient information missing from previous grayscale image creation methods.

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Published In

cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 24, Issue 3
July 2005
826 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/1073204
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 July 2005
Published in TOG Volume 24, Issue 3

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Author Tags

  1. color reduction
  2. image processing
  3. non-photorealistic
  4. perceptually-based rendering

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  • (2024)Adaptive decolorization method based on t-SNE maximizationJournal of Image and Graphics10.11834/jig.23039229:8(2333-2349)Online publication date: 2024
  • (2024)Color-to-gray image conversion using salient colors and radial basis functionsJournal of Electronic Imaging10.1117/1.JEI.33.1.01304733:01Online publication date: 1-Jan-2024
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