2nd Edition
Applying Color Theory to Digital Media and Visualization
Applying Color Theory to Digital Media and Visualization provides an overview of the application of color theory concepts to digital media and visualization. It highlights specific color concepts such as color harmony and data color schemes. Examples of Generative AI solutions for color scheme suggestion are provided. The usage of these concepts is shown with actual online and mobile tools. Color deficiencies are reviewed and color tools for examining how a specific color map design will look to someone with the deficiency are discussed. A 5-stage colorization process is defined and applied to case study examples.
- Presents Color Theory Concepts that can be applied to digital media and visualization problems over and over again
- Offers Comprehensive Review of the Historical Progression of Color Models
- Demonstrates actual case study implementations of color analyses tools
- Provides overview of Color Theory and Harmony Analytics in terms of online and mobile analysis tools
- Teaches the color theory language to use in interacting with color management professionals
Unlike many books on color, which examine artists’ use of color, color management or color science, this book applies fundamental color concepts to digital media and visualization solutions, and the new edition includes generative AI solutions for color suggestion. This is the ideal book for digital media and visualization content creators and developers.
Chapter 1: Introduction to Color Models. Chapter 2: Review of Color Vision Principals. Chapter 3: Defining Color Gamut, Color Spaces and Color Systems. Chapter 4: Defining Color Harmony. Chapter 5: Translating Between Color Harmony and Data Color Schemes. Chapter 6: Analyzing and Modifying with Online and Mobile Color Tools. Chapter 7: Case Study Examples of Colorizing Data Visualizations. Chapter 8: Review of Basic Concepts Covered
Biography
Theresa-Marie Rhyne has over three decades of experience in producing and colorizing digital media and visualization. She has consulted with the Stanford University Visualization Group on a color suggestion prototype system, the Center for Visualization at the University of California at Davis, and the Scientific Computing and Imaging Institute at the University of Utah on applying color theory to ensemble data visualization. Prior to her consulting work, she founded two visualization centers: (1) the United States Environmental Protection Agency’s Scientific Visualization Center in the 1990s and (2) the Center for Visualization and Analytics at North Carolina State University in the 2000s. Theresa-Marie received a BS degree, two MS degrees, and the Degree of Engineer in Civil Engineering from Stanford University. She is an internationally recognized digital media artist who began creating digital media with early Apple computers, including the colorization of early Macintosh educational software. In 2023, she received an IEEE Computer Society Distinguished Contributor Award. She is currently exploring and writing on the use of Generative AI for color scheme suggestion.
Her website is: www.theresamarierhyne.com.
