Color channels decorrelation by ICA transformation in the wavelet domain for color texture analysis and synthesis

Yufeng Liang, Eero Simoncelli, Zhibin Lei

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

Abstract

In this paper, we developed a color model to cancel the dependency between color channels, which enables us to separate spectral processing from spatial processing. We introduced Independent Component Analysis (ICA) transformation in the wavelet domain to decorrelate the subband color joint statistics. The decorrelated joint color conditional histograms display scaling of variance. Gaussian Scale Mixture (GSM) was used to model the subband color statistics and a normalization scheme was adapted to cancel the pair-wise color subband statistical dependency. This color model was combined with the Portilla/Simoncelli texture model to construct the color texture model. Based on this model, features were extracted and the corresponding color texture synthesis scheme was developed.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherIEEE
Pages608-611
Number of pages4
Volume1
StatePublished - 2000
EventCVPR '2000: IEEE Conference on Computer Vision and Pattern Recognition - Hilton Head Island, SC, USA
Duration: Jun 13 2000Jun 15 2000

Other

OtherCVPR '2000: IEEE Conference on Computer Vision and Pattern Recognition
CityHilton Head Island, SC, USA
Period6/13/006/15/00

Fingerprint

Independent component analysis
Textures
Color
Statistics
Processing

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Liang, Y., Simoncelli, E., & Lei, Z. (2000). Color channels decorrelation by ICA transformation in the wavelet domain for color texture analysis and synthesis. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 1, pp. 608-611). IEEE.

Color channels decorrelation by ICA transformation in the wavelet domain for color texture analysis and synthesis. / Liang, Yufeng; Simoncelli, Eero; Lei, Zhibin.

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 1 IEEE, 2000. p. 608-611.

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

Liang, Y, Simoncelli, E & Lei, Z 2000, Color channels decorrelation by ICA transformation in the wavelet domain for color texture analysis and synthesis. in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. vol. 1, IEEE, pp. 608-611, CVPR '2000: IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head Island, SC, USA, 6/13/00.
Liang Y, Simoncelli E, Lei Z. Color channels decorrelation by ICA transformation in the wavelet domain for color texture analysis and synthesis. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 1. IEEE. 2000. p. 608-611
Liang, Yufeng ; Simoncelli, Eero ; Lei, Zhibin. / Color channels decorrelation by ICA transformation in the wavelet domain for color texture analysis and synthesis. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 1 IEEE, 2000. pp. 608-611
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