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Coherence scanning interferometry in CIE color spaces.

Juan Sánchez-Fontecha, Arturo Plata Gómez, Jáder Guerrero Bermúdez

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    |March 17, 2026
    PubMed
    Summary

    This study reconstructs surfaces using white light scanning interferometry (WLSI) by analyzing color signals. This method accurately maps surface topography, even with camera saturation, improving detail in dark areas.

    Area of Science:

    • Optical Metrology
    • Surface Characterization
    • Color Science

    Background:

    • White light scanning interferometry (WLSI) is a key technique for high-resolution surface profiling.
    • Analyzing chromatic information within color spaces offers potential for enhanced interferometric data interpretation.
    • Challenges exist in WLSI for low-contrast and dark surfaces due to camera saturation.

    Purpose of the Study:

    • To numerically reconstruct surfaces using WLSI by analyzing coherence signal behavior in CIE XYZ, CIELab, and CIELuv color spaces.
    • To demonstrate the robustness of the proposed method against digital camera channel saturation.
    • To improve the capability of WLSI for distinguishing details in challenging low-contrast and dark surface areas.

    Main Methods:

    • Utilizing the trajectory of chromatic stimuli in CIE XYZ, CIELab, and CIELuv color spaces to locate the zero-order interference fringe.

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  • Reconstructing a height map based on the identified zero-order fringe position.
  • Evaluating the method's performance and robustness under simulated camera saturation conditions.

    • Main Results:

    • High correlation coefficients were achieved between reconstructed and actual topographies across all tested color spaces.
    • The numerical reconstruction method proved robust to saturation in the red, green, and blue channels of the digital camera.
    • The technique successfully enhanced the distinction of surface details, particularly in dark and low-contrast regions.

    Conclusions:

    • The analysis of coherence signal behavior in specified color spaces provides an effective method for numerical surface reconstruction via WLSI.
    • The developed procedure offers improved surface topography mapping, especially for challenging sample types.
    • This approach enhances the practical applicability of WLSI by overcoming limitations related to camera dynamic range.