SCIELAB

From SCIEN

Spatial CIELAB (S-CIELAB) is an image quality metric. The metric is designed to compare a reference image with an alternative rendering of that image. The metric accounts for the spatial and chromatic encoding of the image by the human eye. The metric was developed by Xuemei Zhang and Brian Wandell.

Previous S-CIELAB web-page.

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References

Zhang & Wandell (1997). A spatial extension of CIELAB for digital color image reproduction, SID Journal
Explains the structure of the S-CIELAB, and gives all the parameter information of S-CIELAB.

  • Zhang, Silverstein, Farrell, & Wandell (1997). Color image fidelity metric S-CIELAB and its application on halftone texture visibility, IEEE COMPCON97 Symposium Digest. Empirical evaluation of S-CIELAB as a metric for printed halftone texture visibility.
    <A HREF="compcon97/compcon97.ps">Postscript</A> or <A HREF="http:compcon97/compcon97.html">HTML</A> or <A HREF="compcon97/compcon97.pdf">PDF</A>

  • Zhang, Farrell, & Wandell (1997) Application of a spatial extension to CIELAB, IS&T/SPIE Electronic Imaging 97. Application of S-CIELAB to evaluate multi-level halftone texture visibility.
    <A HREF="spie97/spie97.ps">Postscript</A> or <A HREF="spie97/spie97.html">HTML</A> or <A HREF="spie97/spie97.pdf">PDF</A> <p>
  • Zhang & Wandell (1998, preprint version). Color image fidelity metrics evaluated using image distortion maps, Signal Processing. Image distortion map data used to evaluate S-CIELAB and a few other metrics.
    <A HREF="compare/compare.ps">Postscript</A> or <A HREF="http:compare/compare.html">HTML</A> or <A HREF="compare/compare.pdf">PDF</A> </UL> Poirson & Wandell (1993). Appearance of colored patterns: Pattern-color separability, Journal of the Optical Society of America
    Color appreance match across targets of different spatial frequencies. First discussion of the pattern-color separable structure. The spatial-color measurements from this paper are used in the S-CIELAB model.
    Poirson & Wandell (1996). Pattern-color separable pathways predict sensitivity to simple colored patterns, Vision Research
    Threshold detection measurements of gabor targets of different spatial frequencies and color contrast directions. A pattern-color separable model again explained the data very well. The measured spatial and color tuning curves were in good agreement with the measurements in the 1993 paper (see above).
    Baeuml & Wandell (1996) The color appearance of mixture gratings, Vision Research
    Extended the measurements in Poirson & Wandell (1993) to spatial frequency mixture gratings.

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