By Haim Levkowitz
Color concept and Modeling for special effects, Visualization, and Multimedia Applications offers with colour imaginative and prescient and visible computing. This ebook offers an summary of the human visible approach with an emphasis on colour imaginative and prescient and notion. The booklet then is going directly to talk about how human colour imaginative and prescient and conception are utilized in numerous functions utilizing computer-generated screens, comparable to special effects and data and knowledge visualization.
Color conception and Modeling for special effects, Visualization, and Multimedia Applications is appropriate as a secondary textual content for a graduate-level direction on special effects, computing device imaging, or multimedia computing and as a reference for researchers and practitioners constructing special effects and multimedia purposes.
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Additional info for Color theory and modeling for computer graphics, visualization, and multimedia applications
Example text
And, aesthetical as well as economic reasons cause the need for a separate black channel (referred to as “K,” thus naming it the CMYK model). The colors these devices produce also depend heavily on illumination. 4 PROCESS-ORDER SYSTEMS (PSEUDO-PERCEPTUAL) Process-order systems (also called pseudo-perceptuaZ) partially alleviate the problem mentioned last in the previous section. CHAPTER2 36 These systems use axes that may represent intuitive concepts-such as hue, lightness, saturation (HLS)-but they are not based on psychophysical realizations of HLS.
461 [JW75, Taj83a, Taj83bl. The CIELAB Uniform Color Space Similar t o CIELUV, the CIELAB Uniform Color Space was developed by the CIE. But it is recommended for modeling reflected light conditions. Each color c = ( ~ , g , b )in RGB space has also a unique representation in CIELAB, ( L * ( c ) a, * (c ),b*(c)). Like in CIELUV, it is claimed that perceived differences between colors are well represented by the Euclidean (square norm) distance in these coordinates [CIE78, Taj83a, Taj83bl. 008856, otherwise, a* = 5 0 0 [ ( X / X 0 ) ~ / ~(y/y0)l/3], b* = ~ O O [ ( Y / Y ~ )( ~Z / ~Z ~ ) ~ / ~ ] , Yo, U;, vh are the values for the reference white illuminant, see [CIE78, Taj83a, Taj83bl.
An important lesson is that image compression schemes devoting most bandwidth to luminance achieve higher compression rates while maintaining higher image quality. 12. On the other hand, colors look more saturated and intense over large areas. For example, the same color that looked quite subdued on a small paint chip a t the paint store, will look very intense on a large wall; intensely colorful natural scenes (such as sunsets) can look wan in snapshots, but impressive on a large screen. This means that pictures on the large screen of a High Definition Television will appear more colorful, thus part of its appeal.
