Color Naming

Color naming research investigates how humans perceive and categorize colors, and how these processes are reflected in language and technology. Current research focuses on improving color representation and manipulation in computer vision tasks, leveraging techniques like deep learning (e.g., diffusion models, transformers) and incorporating color information into various image processing applications (e.g., enhancement, compression, super-resolution). These advancements have implications for diverse fields, including quality control (e.g., coffee bean grading), image editing, and even understanding the cultural evolution of semantic systems. Furthermore, research explores the impact of color perception variations, such as color blindness, on color naming and usage.