Color Sequence Preserving Decolorization

M. J. Yoo, In Kwon Lee, S. Lee

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Many visualization techniques use images containing meaningful color sequences. If such images are converted to grayscale, the sequence is often distorted, compromising the information in the image. We preserve the significance of a color sequence during decolorization by mapping the colors from a source image to a grid in the CIELAB color space. We then identify the most significant hues, and thin the corresponding cells of the grid to approximate a curve in the color space, eliminating outliers using a weighted Laplacian eigenmap. This curve is then mapped to a monotonic sequence of gray levels. The saturation values of the resulting image are combined with the original intensity channels to restore details such as text. Our approach can also be used to recolor images containing color sequences, for instance for viewers with color-deficient vision, or to interpolate between two images that use the same geometry and color sequence to present different data.

Original languageEnglish
Pages (from-to)373-383
Number of pages11
JournalComputer Graphics Forum
Volume34
Issue number2
DOIs
Publication statusPublished - 2015 May 1

Fingerprint

Color
Color vision
Light sources
Visualization
Geometry

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design

Cite this

Yoo, M. J. ; Lee, In Kwon ; Lee, S. / Color Sequence Preserving Decolorization. In: Computer Graphics Forum. 2015 ; Vol. 34, No. 2. pp. 373-383.
@article{b2001e09714c43e6a4172a044eac9ff5,
title = "Color Sequence Preserving Decolorization",
abstract = "Many visualization techniques use images containing meaningful color sequences. If such images are converted to grayscale, the sequence is often distorted, compromising the information in the image. We preserve the significance of a color sequence during decolorization by mapping the colors from a source image to a grid in the CIELAB color space. We then identify the most significant hues, and thin the corresponding cells of the grid to approximate a curve in the color space, eliminating outliers using a weighted Laplacian eigenmap. This curve is then mapped to a monotonic sequence of gray levels. The saturation values of the resulting image are combined with the original intensity channels to restore details such as text. Our approach can also be used to recolor images containing color sequences, for instance for viewers with color-deficient vision, or to interpolate between two images that use the same geometry and color sequence to present different data.",
author = "Yoo, {M. J.} and Lee, {In Kwon} and S. Lee",
year = "2015",
month = "5",
day = "1",
doi = "10.1111/cgf.12567",
language = "English",
volume = "34",
pages = "373--383",
journal = "Computer Graphics Forum",
issn = "0167-7055",
publisher = "Wiley-Blackwell",
number = "2",

}

Color Sequence Preserving Decolorization. / Yoo, M. J.; Lee, In Kwon; Lee, S.

In: Computer Graphics Forum, Vol. 34, No. 2, 01.05.2015, p. 373-383.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Color Sequence Preserving Decolorization

AU - Yoo, M. J.

AU - Lee, In Kwon

AU - Lee, S.

PY - 2015/5/1

Y1 - 2015/5/1

N2 - Many visualization techniques use images containing meaningful color sequences. If such images are converted to grayscale, the sequence is often distorted, compromising the information in the image. We preserve the significance of a color sequence during decolorization by mapping the colors from a source image to a grid in the CIELAB color space. We then identify the most significant hues, and thin the corresponding cells of the grid to approximate a curve in the color space, eliminating outliers using a weighted Laplacian eigenmap. This curve is then mapped to a monotonic sequence of gray levels. The saturation values of the resulting image are combined with the original intensity channels to restore details such as text. Our approach can also be used to recolor images containing color sequences, for instance for viewers with color-deficient vision, or to interpolate between two images that use the same geometry and color sequence to present different data.

AB - Many visualization techniques use images containing meaningful color sequences. If such images are converted to grayscale, the sequence is often distorted, compromising the information in the image. We preserve the significance of a color sequence during decolorization by mapping the colors from a source image to a grid in the CIELAB color space. We then identify the most significant hues, and thin the corresponding cells of the grid to approximate a curve in the color space, eliminating outliers using a weighted Laplacian eigenmap. This curve is then mapped to a monotonic sequence of gray levels. The saturation values of the resulting image are combined with the original intensity channels to restore details such as text. Our approach can also be used to recolor images containing color sequences, for instance for viewers with color-deficient vision, or to interpolate between two images that use the same geometry and color sequence to present different data.

UR - http://www.scopus.com/inward/record.url?scp=84932112172&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84932112172&partnerID=8YFLogxK

U2 - 10.1111/cgf.12567

DO - 10.1111/cgf.12567

M3 - Article

AN - SCOPUS:84932112172

VL - 34

SP - 373

EP - 383

JO - Computer Graphics Forum

JF - Computer Graphics Forum

SN - 0167-7055

IS - 2

ER -