Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

Robust color-to-gray via nonlinear global mapping

Published: 01 December 2009 Publication History

Abstract

This paper presents a fast color-to-gray conversion algorithm which robustly reproduces the visual appearance of a color image in grayscale. The conversion preserves feature discriminability and reasonable color ordering, while respecting the original lightness of colors, by simple optimization of a nonlinear global mapping. Experimental results show that our method produces convincing results for a variety of color images. We further extend the method to temporally coherent color-to-gray video conversion.

Supplementary Material

Supplemental material. (161-kim.zip)

References

[1]
Bala, R., and Eschbach, R. 2004. Spatial color-to-grayscale transform preserving chrominance edge information. In Proc. Color Imaging Conference 2004, 82--86.
[2]
Čadík, M. 2008. Perceptual evaluation of color-to-grayscale image conversions. Computer Graphics Forum (Proc. Pacific Graphics 2008) 27, 7, 1745--1754.
[3]
Fairchild, M. D. 2005. Color Appearance Models. Wiley.
[4]
Gooch, A. A., Olsen, S. C., Tumblin, J., and Gooch, B. 2005. Color2gray: salience-preserving color removal. ACM Trans. Graphics (Proc. SIGGRAPH 2005) 24, 3, 634--639.
[5]
Grundland, M., and Dodgson, N. A. 2007. Decolorize: Fast, contrast enhancing, color to grayscale conversion. Pattern Recognition 40, 11, 2891--2896.
[6]
Mantiuk, R., Myszkowski, K., and Seidel, H.-P. 2006. A perceptual framework for contrast processing of high dynamic range images. ACM Trans. Applied Perception 3, 3, 286--308.
[7]
Nayatani, Y. 1997. Simple estimation methods for the helmholtzkohlrausch effect. Color Research and App. 22, 6, 385--401.
[8]
Neumann, L., Čadík, M., and Nemcsics, A. 2007. An efficient perception-based adaptive color to gray transformation. In Proc. Computational Aesthetics 2007, 73--80.
[9]
Rasche, K., Geist, R., and Westall, J. 2005. Detail preserving reproduction of color images for monochromats and dichromats. IEEE Computer Graphics and Applications 25, 3, 22--30.
[10]
Rasche, K., Geist, R., and Westall, J. 2005. Re-coloring images for gamuts of lower dimension. Computer Graphics Forum (Proc. Eurographics 2005) 24, 3, 423--432.
[11]
Smith, K., Landes, P.-E., Thollot, J., and Myszkowski, K. 2008. Apparent greyscale: A simple and fast conversion to perceptually accurate images and video. Computer Graphics Forum (Proc. Eurographics 2008) 27, 2, 193--200.

Cited By

View all

Index Terms

  1. Robust color-to-gray via nonlinear global mapping

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Transactions on Graphics
      ACM Transactions on Graphics  Volume 28, Issue 5
      December 2009
      646 pages
      ISSN:0730-0301
      EISSN:1557-7368
      DOI:10.1145/1618452
      Issue’s Table of Contents

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 01 December 2009
      Published in TOG Volume 28, Issue 5

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. color-to-grayscale
      2. video decolorization

      Qualifiers

      • Research-article

      Funding Sources

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)6
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 21 Sep 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2024)Adaptive decolorization method based on t-SNE maximizationJournal of Image and Graphics10.11834/jig.23039229:8(2333-2349)Online publication date: 2024
      • (2023)A multi-tasking novel variational model for image decolorization and denoisingInverse Problems and Imaging10.3934/ipi.2023020(0-0)Online publication date: 2023
      • (2023)DecolorizationImage and Video Color Editing10.1007/978-3-031-26030-8_5(43-54)Online publication date: 21-Mar-2023
      • (2022)Detail enhancement decolorization algorithm based on rolling guided filteringMultimedia Tools and Applications10.1007/s11042-021-11677-381:2(2711-2731)Online publication date: 1-Jan-2022
      • (2021)A disease spot segmentation method using comprehensive color feature with multi-resolution channel and region growingMultimedia Tools and Applications10.1007/s11042-020-09882-780:3(3327-3335)Online publication date: 1-Jan-2021
      • (2020)Hazy Image Decolorization With Color Contrast RestorationIEEE Transactions on Image Processing10.1109/TIP.2019.293994629(1776-1787)Online publication date: 2020
      • (2019)Reducing Affective Responses to Surgical Images and Videos Through StylizationComputer Graphics Forum10.1111/cgf.1388639:1(462-483)Online publication date: 13-Nov-2019
      • (2019)Bregman-Tanimoto Based Method for Contrast Preserving Decolorization2019 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME.2019.00216(1240-1245)Online publication date: Jul-2019
      • (2019)Image Decolorization Based on Information Theory2019 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2019.8803485(3242-3246)Online publication date: Sep-2019
      • (2019)WpmDecolorThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-017-1464-835:2(205-221)Online publication date: 1-Feb-2019
      • Show More Cited By

      View Options

      Get Access

      Login options

      Full Access

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media