Development of a model for coloring raster elements based on determining the contrast of colored raster polynomially transformed digital images
DOI:
https://doi.org/10.15587/2706-5448.2026.359690Keywords:
polynomial transformation, raster transformation, coloring, relative contrast, simulator, quantitative assessmentAbstract
The object of research is the technological process of pre-printing adjustment of image tone reproduction based on the determination of the contrast of colored raster polynomially transformed digital images.
One of the significant problems in the process of pre-printing image preparation is the absence of an automated zonal ink supply adjustment system in most offset machines. Accordingly, this makes it impossible to determine the optimal ink layer to ensure high-quality tone reproduction. Therefore, the urgent task of determining the contrast of colored raster polynomially transformed images over the entire tone reproduction interval arises.
The research process is based on the use of the method of mathematical transformation, the theory of digital image processing and object-oriented programming.
Rasterization algorithms have been developed based on the use of polynomial transformation of digital images of light tones. The result of raster transformation is the determination of the relative area of the coloring of raster elements, which is the main carrier of information about the tonality of the image.
A structural diagram of a contrast simulator of colored polynomially transformed images was constructed, with the help of which the characteristics of coloring of raster elements and the characteristics of the contrast of colored polynomially transformed images were constructed.
The proposed coloring model describes the dependence of coloring of raster elements on the change in the relative contrast of colored raster polynomially transformed images. It is proved that an increase in the thickness of the ink layer increases the initial contrast by +0.2 units. Therefore, changing the thickness of the ink layer can ensure optimal visual image quality due to a change in contrast, which is an advantage of the model.
The research results can be recommended for use in pre-printing processes of adjusting digital images.
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