Applied Color Science: 101 Solved Real Life Proble ms using Python

Over a hundred solved problems related to color theory, color matching, color appearance modeling, digital color calibration, and multi-spectral imaging

This thriving multidisciplinary field, which brings together subjects from physics to psychology, informs industries as diverse as computer graphics, television, plastics, textiles, foodstuffs, cosmetics, and more. As color imaging technology develops, color science research and problem-solving becomes all the more essential to meeting the needs of new inventions and applications.

Applied Color Science: 101 Solved Real Life Problems Using Python offers a practical approach to this burgeoning field. Based on the Python programming language and firmly grounded in the essential mathematics of color science, this book is designed to promote learning and developing practical skills for dealing with major problems in color science and color theory. Its an essential tool not only for the study of color science, but other fields such as color imaging, video processing, color data transfer, and more.

Applied Color Science readers will also find:

• An authorial team with decades of combined experience in both research and industry
• Detailed discussion of topics including the CIE system of colorimetry, CIE color difference metrics, color modeling, and many more
• Supplementary questions connected with each topic to deepen understanding

Applied Color Science is ideal for researchers and professionals in the field of color science, image/video processing, computer vision, displays, and similar related fields. It is also a strong supplementary textbook for students studying in this field.