By Haim Levkowitz
Color thought and Modeling for special effects, Visualization, and Multimedia Applications bargains with colour imaginative and prescient and visible computing. This ebook presents an outline of the human visible approach with an emphasis on colour imaginative and prescient and notion. The booklet then is going directly to speak about how human colour imaginative and prescient and notion are utilized in numerous functions utilizing computer-generated screens, comparable to special effects and knowledge and knowledge visualization.
Color conception and Modeling for special effects, Visualization, and Multimedia Applications is acceptable as a secondary textual content for a graduate-level path on special effects, laptop imaging, or multimedia computing and as a reference for researchers and practitioners constructing special effects and multimedia purposes.
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Extra info for Color theory and modeling for computer graphics, visualization, and multimedia applications
We now discuss those color models that are most commonly used in computer graphics, namely the Red, Green, and Blue (RGB) model, which is used to model CRT color monitors, and the Lightness, Hue, and Saturation (LHS) family of models, which are considered to be better suited for human interaction. Because of the particular focus of this book on computer generated displays we use as our frame of reference the RGB model. Previously-developed LHS models can be perceived as having been derived by coordinate transformations of the RGB colorcube [LH87a].
Sufficient relative separation in saturation and lightness. Useful coordinate systems, both perceptually (human terms) and computationally (machine terms). We discuss these with respect to the various specification system we describe here. 2 OVERVIEW OF COLOR SPECIFICATION SYSTEMS The color models mentioned above are part of a broader hierarchy of color specification systems, which have been in use in a wide range of applications. 1 summarizes the different categories of color specification systems.
However, these models suffer from a number of shortcomings: 1. Instruments specifications vary greatly. For example, different color monitors may have different phosphors. Thus, a model that accurately describes one instrument, is very unlikely to provide an adequate description of another one, even within the same category (such as color monitors), let alone across types. 2. From a perceptual point of view, the relationships between the instrument’s coordinate system and a perceptual one that humans are comfortable with (usually of the hue, lightness, saturation type) is not readily available.