Quick Gamut mapping for simplified color correction

  • Matteo Cereda Department of Computer Science, University of Milan, Milan, Italy https://orcid.org/0000-0002-6310-4662
  • Alice Plutino Department of Computer Science, University of Milan, Milan, Italy https://orcid.org/0000-0002-6749-0783
  • Alessandro Rizzi He graduated in Computer Science for digital communication at the University of Milano. As a great passionate of digital videos and photos, during his university experience he chose to deepen the multimedia field. This allowed him to gain skills in video and image processing, image enhancement and color correction. https://orcid.org/0000-0001-6240-4383
Keywords: Gamut mapping, Color correction, Image processing, Digital image, Colorimetry

Abstract

This paper presents an alternative method to convert color spaces more quickly than using the traditional gamut mapping. The conversion is carried out in a two-dimensional space, the xy chromaticity diagram, through an affine transformation, which changes the colors chromaticity, varying the saturation and hue, without acting on the luminance. The affine transformation applies to the colors of the original image the values obtained by solving two linear systems of three equations using the coordinates of the input and output color spaces. Then, these values are applied to each xy coordinate of the image color obtained from its RGB values.

Purpose of this alternative method is not the colorimetric accuracy, but a quick transformation to support the color correction of images and/ or videos. In image and video editing, the steps of color correction and color grading are often performed by the expert’s eye using various image editing tools and software. This approach overshadows the colorimetric aspect, focusing just on the aesthetic enhancement. The proposed alternative gamut mapping method, named Quick Gamut, will be presented through application examples.

Author Biography

Matteo Cereda, Department of Computer Science, University of Milan, Milan, Italy

He graduated in Computer Science for digital communication at the University of Milano. As a great passionate of digital videos and photos, during his university experience he chose to deepen the multimedia field. This allowed him to gain skills in video and image processing, image enhancement and color correction.

References

Anderson, M., Motta, R., Chandrasekar, S., and Stokes, M. (1996) 'Proposal for a Standard Default Color Space for the Internet - sRGB', Color Imaging Conference.

Mokrzycki, W. and Tatol, M. (2011) 'Color difference Delta E - A survey', Machine Graphics and Vision. 20. pp. 383-411.

Weisstein, E. (2002) CRC concise encyclopedia of mathematics, second edition. 2nd edn. New York: Chapman and Hall/CRC, p. 36.

Wolf, E. (1961) Progress in optics. 1st edn. Amsterdam: North-Holland Pub. Co., pp. 213-214

Published
2021-04-09
How to Cite
Cereda, M., Plutino, A. and Rizzi, A. (2021) “Quick Gamut mapping for simplified color correction”, Cultura e Scienza del Colore - Color Culture and Science, 13(01), pp. 79-84. doi: 10.23738/CCSJ.130209.
Section
Papers