INCREASING THE ACCURACY OF COLOR REPRODUCTION OF REAL PICTORIAL ORIGINALS AT THE SCANNING STAGE

UDC 655.2;004.9

Sipaila Siarhei Uladzimiravich – PhD (Engineering), Associate Professor, Assistant Professor, the Department of Printing Production. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: svsip@yandex.by

 

DOI: https://doi.org/ 10.52065/2520-6729-2024-285-6.

Key words: color profile, image scanning, color accuracy, color management system.

For citation: Sipaila S. U. Increasing the accuracy of color reproduction of real pictorial originals at the scanning stage. Proceedings of BSTU, issue 4, Print- and Mediatechnologies, 2024, no. 2 (285), pp. 47–52 (In Russian). DOI: 10.52065/2520-6729-2024-285-6.

Abstract

The article considers the problem of increasing the colorimetric accuracy of color reproduction of real pictorial originals during scanning. The material form is the traditional form of presentation of pictorial originals for printing reproduction. In this case, the image is contained on a tangible information carrier, such as paper. Currently, computer tools for creating images and digital photography have also become widespread. Despite this, the problem of digitizing real pictorial originals by scanning remains relevant. To ensure the accuracy of color reproduction, it is necessary to use a color management system and a personal color profile of the scanner. To create a color profile of the scanner, a real control scale consisting of fields of different colors and specialized software are required. The use of different versions of control scales and software gives non-identical results of color profiling for the same scanner. This is due to the difference in control scales in the number of fields and their color parameters, as well as the difference in software in the mathematical apparatus used and the accuracy of calculations. In general, the use of a personal color profile of the scanner allows to significantly reduce color distortions of the image compared to the assignment of a unified color profile such as sRGB.

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29.08.2024