A MODEL FOR DYNAMIC OPTIMISATION OF COLOUR REPRODUCTION PARAMETERS UNDER CONDITIONS OF VARIABILITY OF PRINTED IMAGES IN SOLVENT PRINTING

Abstract

The article presents the development and practical implementation of an adaptive model for the automated selection of colour separation and halftone smoothing algorithms in the context of large-format solvent-based printing. This model is designed to ensure stable and high-quality colour reproduction under variable printing conditions, which are typical for the solvent printing industry. The proposed system analyses the spectral and morphological features of the input image, allowing the dynamic adjustment of colour processing parameters based on the specific content and structure of the image, including distinctions between graphical elements, text, and photographic content. This content-sensitive adaptation enables the model to maintain colour consistency and fidelity while optimizing ink consumption and minimizing material waste.

A key advantage of the model lies in its integration with Raster Image Processor (RIP) systems, which facilitates automation of the image preparation process and reduces the dependency on operator expertise. This, in turn, leads to improved productivity, reduced production errors, and better alignment with modern lean manufacturing principles. By leveraging data-driven optimization methods and heuristic rules, the model fine-tunes the rendering pipeline to meet both aesthetic and technical requirements of the final print output.

The article also explores the results of practical testing of the model in real-world production environments. These tests confirm improvements in output quality, ink usage efficiency, and process repeatability. Furthermore, the authors identify potential directions for future research, such as integrating the model with machine learning systems to further enhance decision-making capabilities, and expanding compatibility with a wider range of printing technologies. Overall, the study demonstrates how adaptive algorithmic approaches can significantly enhance the performance and reliability of colour management in professional printing workflows.