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Lecturer(s)
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Vik Michal, prof. Ing. Ph.D.
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Viková Martina, doc. Ing. Ph.D.
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Course content
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1) Introduction - Defining color, the physical stimulus, perceiving color and describing color. 2) Human color vision - Structure and function of the eye. The mechanism of vision and color vision deficiencies. 3) Color order systems - Lambert, Runge, Munsell, Ostwald, NCS color space and Pantone order system. 4) Basic Colorimetry I - Nature of light. CIE light sources and illuminants. Color measurement. Reflectance spectro-photometers and colorimeters. On-line and off-line systems. Colorimetry of color-changeable materials. 5) Basic Colorimetry II - The 1931 CIE XYZ system, UCS - uniform color scale and chromacity diagrams. 6) Color quality control I - LAB spaces. Color-difference dE*, dE DCI95 and dE DIN6176. 7) Color quality control II - Color-difference formulae - CMC, CIE 1994 and CIE 2000, Shade sorting - 555 and cluster systems. 8) Color quality control III - Indices - Whiteness, Yellowness, Gray scales, Uniformity measurement. 9) Color appearance - Metamerism. Color constancy and chromatic adaptation CIE CAT00. Color appearance models - CIECAM02, etc. 10) Computer match prediction I - Absorption and scattering of light. Kubelka-Munk function. Spectrophotometric curve matching. Colorimetric matching. 11) Computer match prediction II - Database of dyes preparation. Recipe correction. Recipe formulation of fiber blends. 12) Color management - color gamut, softcopy and hardcopy, ICC profiles. Labs: 1. Calibration, precision and accuracy - colorimeters and spectrophotometers 2. Measurement of non-fluorescent materials, samples preparation and measuring methods 3. Whiteness and fluorescent materials measurement 4. Dye set preparation and measurement 5. Computer match prediction - recipe calculation and correction 6. Monitor calibration, ICC profiles
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing), Laboratory work, Lecture
- Home preparation for classes
- 14 hours per semester
- Class attendance
- 56 hours per semester
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Learning outcomes
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Introduction. Light sources and illuminants. Colour perception. CIE XYZ. Uniform colour scales. Colour differences. Pass/Fail decision. Gray scale ratting. Measurement of whiteness and yellowness. Interaction of objects with light. Colour match prediction. Database preparation and optimisation. Instrument classification and components. Colour systems for colour selection. Artificial intelligence and colour measurement.
Knowledge lectured subject - theoretically and practically.
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Prerequisites
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Unspecified
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Assessment methods and criteria
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Combined examination
Labs inclusion: laboratory project essay Exam: written form + interview
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Recommended literature
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GREEN, P., MACDONALD, L. Colour Engineering. John Wiley and Sons, New York, 2002.
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HUNTER, R. S., HAROLD, R. W. The measurement of appearance,. Wiley New York, 1987.
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JUDD, D. B., WYSZECKI, G. Color in business, science, and industry. Wiley New York, 1975.
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MACDONALD, L., LUO, M. R. Colour Imaging. John Wiley and Sons, New York, 1999.
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MCDONALD, R. Colour physics in industry. Colour physics in industry, 1996.
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VIK, M. Základy měření barevnosti, I. díl. Skriptum TU Liberec, 1995.
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