AI-Driven Color Correction Workflows and the Control of Creative Image Integrity

Mikheil Zibzibadze

Citation: Mikheil Zibzibadze, "AI-Driven Color Correction Workflows and the Control of Creative Image Integrity", Universal Library of Arts and Humanities, Volume 02, Issue 04.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This article analyzes the integration of artificial intelligence technologies into color correction processes and explores methods for preserving the creative integrity of the image. The relevance of this work stems from the rapid proliferation of automated tools that are changing the professional practices of post-production in photography and cinematography. Its novelty lies in the comprehensive systematization of AI application methods and the identification of strategies that allow for the preservation of authorial intent during automated processing. The study describes modern software solutions that integrate AI into workflows, examining their functional capabilities and limitations. It investigates the advantages of automation, including time savings and improved visual consistency, as well as the risks associated with the loss of individual style and the homogenization of the artistic product. Special attention is given to the analysis of control strategies, including the adjustment of correction parameters, the “human-in-the-loop” model, and final manual review. The objective of this work is to identify a balance between the efficiency of AI tools and the preservation of artistic authenticity. To achieve this goal, a comparative analysis of sources and practical case studies was employed. The conclusion describes how a hybrid interaction between humans and algorithms can foster the development of new standards in digital art. This article will be useful for researchers in the field of visual technologies, practicing colorists, photographers, and filmmakers interested in the rational use of AI without sacrificing creative uniqueness.


Keywords: Artificial Intelligence, Color Correction, Creative Integrity, Automation, Visual Arts, Color Science, Post-Production, Digital Processing, Image Style, Human-In-The-Loop.

Download doi https://doi.org/10.70315/uloap.ulahu.2025.0204002