Color Transfer to greyscale images using texture spectrum

Ye Ji, Hong Bo Liu, Xiu Kun Wang, Yi Yuan Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Color Transfer between two images is one of the most common tasks in image processing. In this paper, we present a method of pattern recognition to increase the successful possibility of transferring color from color image to grayscale image. A kind of texture descriptor, texture spectrum, plays an important role in the whole procedure. Source image retrieval is used and based on texture-spectrum similarity, which can find the most suitable color images in a color image database. Further more, texture-spectrum is also considered to sample color pixels reasonably. We found that the method works well and it can be successfully applied to a variety of images.

Original languageEnglish
Title of host publicationProceedings of 2004 International Conference on Machine Learning and Cybernetics
Pages4057-4061
Number of pages5
StatePublished - 2004
EventProceedings of 2004 International Conference on Machine Learning and Cybernetics - Shanghai, China
Duration: Aug 26 2004Aug 29 2004

Publication series

NameProceedings of 2004 International Conference on Machine Learning and Cybernetics
Volume7

Conference

ConferenceProceedings of 2004 International Conference on Machine Learning and Cybernetics
CountryChina
CityShanghai
Period08/26/0408/29/04

Keywords

  • Color Transfer
  • Content-based Image Retrieval
  • Pattern recognition
  • Texture Spectrum

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  • Cite this

    Ji, Y., Liu, H. B., Wang, X. K., & Tang, Y. Y. (2004). Color Transfer to greyscale images using texture spectrum. In Proceedings of 2004 International Conference on Machine Learning and Cybernetics (pp. 4057-4061). (Proceedings of 2004 International Conference on Machine Learning and Cybernetics; Vol. 7).