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JOURNALS // Computer Optics // Archive

Computer Optics, 2020 Volume 44, Issue 1, Pages 117–126 (Mi co769)

This article is cited in 3 papers

IMAGE PROCESSING, PATTERN RECOGNITION

Mathematics and practice of color space invariants by the example of determining the gray balance for a digital printing system

D. A. Tarasov, O. B. Milder

Ural Federal University, Ekaterinburg, Russia

Abstract: In modern printing, a large number of tasks are associated with the mutual transformation of color spaces. In particular, the most common pair of hardware-dependent color spaces is RGB and CMYK, the mutual transformation of colors in which is ambiguous, which creates significant problems in color reproduction. To solve this problem, we propose using color space invariants — gradation trajectories and gradation surfaces, which are analogs of gradation curves for initial colorants and their binary overlays, constructed in the absolute color space of the CIE Lab. Invariants are introduced on the basis of the mathematical apparatus of the differential geometry of spatial curves and surfaces. Practical application of color space invariants involves certain difficulties associated with their complex analytical description; moreover, for most practical problems, the high accuracy of the model is redundant. For the practical application of invariants, we propose a simpler approach using natural color sampling in digital printing systems. As an example, the procedure for determining the gray balance for an electrophotographic printing press is given.

Keywords: grey balance, gradation trajectories, gradation surfaces, digital printing.

Received: 08.06.2019
Accepted: 24.10.2019

DOI: 10.18287/2412-6179-CO-580



© Steklov Math. Inst. of RAS, 2024