Download Computational Colour Science using MATLAB by Professor Stephen Westland, Caterina Ripamonti PDF

By Professor Stephen Westland, Caterina Ripamonti

Offering a practical, problem-based method of color physics, this title describes the major concerns encountered in sleek color engineering, together with effective illustration of color details, fourier research of reflectance spectra and complicated colorimetric computation. Emphasis is put on the sensible purposes instead of the options themselves, with fabric dependent round key subject matters, akin to color calibration of visible screens, machine recipe prediction and types for colour-appearance prediction.

each one subject is punctiliously brought at 3 degrees to reinforce pupil realizing. first of all, theoretical rules and history info are mentioned, factors of mathematical options then keep on with and at last sensible strategies are provided utilizing MATLAB.

  • Includes a compendium of equations and numerical information required via the fashionable color and imaging scientist.
  • Numerous examples of suggestions and algorithms for a wide-range of computational difficulties in color technological know-how.
  • Provides instance scripts utilizing the MATLAB programming language.

this article is a must-have for scholars taking classes in color technology, color chemistry and color physics in addition to technicians and researchers operating within the sector.


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Extra resources for Computational Colour Science using MATLAB

Sample text

Mat therefore contains weights that represent the 1964 and 1931 colour-matching functions for the CIE illuminants A, C, D50, D55, D65, D75, F2, F7 and F9. The leftmost column in the preceding list shows the valid observer/illuminant options that can be used as the fourth argument in r2xyz. 2. Following some basic checks on the arguments to the function the issue of truncation is addressed in the r2xyz code. If the reflectance data are only available at 400 nm and higher, for example, then the values of the weights at wavelengths lower than 400 nm are added to the value of the weights at 400 nm.

They are provided at 10- and 20-nm intervals. The fact that the E308-01 tables are abridged to intervals of 10 and 20 nm has resulted in them probably being the most widely used method for computing tristimulus values since the 10-nm data, in particular, are suitable for direct use with reflectance data obtained from most reflectance spectrophotometers without interpolation. The ASTM publication provides the data in two main tables: ASTM Table 5 should be used with reflectance data that have been corrected for the spectral bandpass of the instrument whereas ASTM Table 6 has the spectral-bandpass correction built in and should be used with reflectance data that have not been CHROMATICITY DIAGRAMS 35 corrected.

7) again refers to the neutral point. It is also possible to compute polar coordinates for CIELUV, C*uv ¼ ðu*2 þ v*2 Þ1=2 , huv ¼ tanÀ1 ðv*=u*Þð180=pÞ. ð5:9Þ Whereas CIELAB was recommended for use with surface colours, CIELUV was recommended for use with self-luminous colours (surface colours are sometimes referred to as related colours since we rarely see a surface in isolation but rather as part of a scene). One of the reasons for this is that the CIELUV space retains a chromaticity diagram which is derived by plotting u0 against v0 .

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