인공지능 기술 기반의 색채 활용에 관한 문헌 연구

초록

The purpose of this study is to investigate how Artificial Intelligence (AI) technology is being integrated into color and how this integration enhances the efficiency, personalization, and creativity of color across various applications. Specifically, the study aims to examine the key technologies and methods of AI-based color through theoretical frameworks and empirical research. The study employed a systematic literature review method to collect and analyze academic papers related to AI and color. Data was collected from major academic databases, both domestic and international, including RISS, DBpia, KISS, IEEE Xplore, ACM Digital Library, ScienceDirect, SpringerLink, Wiley Online Library, and Google Scholar. The focus was on papers published within the last five years. A total of 46 papers were collected and analyzed, categorized by field, publication year, and research method. The analysis revealed that the integration of AI and color is achieved through various technologies such as machine learning, deep learning, interactive evolutionary computation, emotional engineering, computer vision, genetic algorithms, and reinforcement learning. These technologies are utilized in different applications, including color analysis, image quality enhancement, color palette generation, and automatic image colorization. These applications significantly improve the accuracy, efficiency, and creativity of color. This study comprehensively analyzes the current trends and key technologies of AI-based color, suggesting the potential for future AI applications in the field of color. AI-driven color promotes the fusion of creative expression and functional design, offering innovative design solutions across various industries. Future research will deepen the integration of AI and color, exploring the qualitative improvements and new application possibilities that this integration can bring.채 활용에 관한 문헌 연구

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