COLOR AND TONE AS COMPOSITIONAL REGULATORS IN DIGITAL VISUALIZATION: FROM RASTER PROCESSING TO RENDERING
DOI:
https://doi.org/10.35619/ucpmk.52.1206Keywords:
digital visualization, composition, color, tone, rendering, color management, image, art, design, illustrationAbstract
The aim of this study is to develop an integrated conceptual model explaining how colour and tone function as compositional regulators at different stages of the digital visualisation pipeline, from initial raster image preparation to final rendering and tone mapping. The research focuses on understanding how these visual parameters influence the distribution of attention, spatial organisation, visual hierarchy, and the overall perception of digital images.
Research methodology. The study is based on an interdisciplinary analytical approach that combines literature review and theoretical synthesis of research from visual psychology, design theory, and computer graphics. The obtained results were integrated into a conceptual model that maps stages of the digital workflow to specific compositional functions. Results. The research identifies five key stages of the digital visualisation process: raster processing, colour management, lighting and shading, rendering, and post-processing. Each stage contributes to the formation or preservation of compositional structure. Raster processing establishes the fundamental tonal hierarchy and colour palette; colour management ensures consistency across devices; lighting and shading create spatial depth and visual emphasis; rendering preserves calculated visual relationships; and post-processing enhances or refines compositional accents. The study demonstrates that tonal structure forms the compositional framework of an image, while colour acts as a complementary tool for differentiation and emotional expression.
Novelty. The scientific novelty lies in proposing an integrated interdisciplinary model that connects artistic, perceptual, and technical aspects of colour and tone within a single digital visualisation framework.
The practical significance. The proposed model may support the development of digital painting tools, automated image-adjustment systems, and lighting or rendering algorithms aimed at preserving compositional integrity throughout the digital production pipeline.
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Copyright (c) 2026 Андрій ЗІНЧЕНКО , Дар’я БОЙКО , Валентин ГОЛІУС , Ніна ІВАНОВА

This work is licensed under a Creative Commons Attribution 4.0 International License.