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Practical RGB-to-XYZ Color Transformation Matrix Estimation under Different Lighting Conditions for Graffiti

Adolfo Molada-Tebar1, Geert J Verhoeven2, David Hernández-López3

  • 1Department of Cartographic and Land Engineering, Higher Polytechnic School of Avila, University of Salamanca, Hornos Caleros 50, 05003 Avila, Spain.

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|March 28, 2024
PubMed
Summary
This summary is machine-generated.

Accurate color data for cultural heritage is achievable using camera characterization. This method transforms device-dependent RGB values into a device-independent color space, ensuring reliable documentation of artifacts like graffiti.

Keywords:
color sciencecolorimetrygraffiti artimage processingsoftware development

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Area of Science:

  • Digital imaging
  • Color science
  • Cultural heritage preservation

Background:

  • Digital cameras offer cost-effective RGB data acquisition for cultural heritage.
  • Camera sensor responses are device-dependent, hindering accurate colorimetric measurements.
  • Camera characterization is a method to convert RGB to device-independent color spaces like CIE XYZ.

Purpose of the Study:

  • To apply and assess camera characterization techniques for heritage documentation.
  • To introduce COOLPI, a Python toolbox for colorimetric and spectral image processing.
  • To evaluate the performance of camera characterization under diverse real-world lighting conditions.

Main Methods:

  • Utilized camera characterization to compute RGB-to-XYZ transformation matrices.
  • Developed and applied the COOLPI (COlor Operations Library for Processing Images) toolbox.
  • Captured and processed images of graffiti under various lighting conditions for the INDIGO project.

Main Results:

  • Demonstrated the colorimetric accuracy of camera characterization techniques.
  • Showcased the effectiveness of COOLPI in processing colorimetric and spectral data.
  • Validated the suitability of the developed methods for heritage documentation.

Conclusions:

  • Camera characterization provides accurate color data for cultural heritage documentation.
  • The COOLPI toolbox is a valuable resource for colorimetric and spectral analysis in this field.
  • The methods are suitable for diverse, real-world lighting conditions encountered in heritage sites.