By Stephen Westland
Computational color technology utilizing MATLAB 2nd Edition bargains a realistic, problem-based method of color physics. The booklet specializes in the most important matters encountered in glossy color engineering, together with effective illustration of color info, Fourier research of reflectance spectra and complex colorimetric computation. Emphasis is put on the sensible purposes instead of the suggestions themselves, with fabric dependent round key issues. those themes comprise color calibration of visible monitors, machine recipe prediction and types for colour-appearance prediction.
Each subject is thoroughly brought at 3 degrees to assist pupil realizing. First, theoretical principles and historical past info are mentioned, then factors of mathematical suggestions keep on with and at last functional ideas are provided utilizing MATLAB. The content material includes:
- A compendium of equations and numerical information required by way of the fashionable color and imaging scientist.
- Numerous examples of suggestions and algorithms for a wide-range of computational difficulties in color science.
- Example scripts utilizing the MATLAB programming language.
This 2nd version comprises sizeable new and revised fabric, together with 3 leading edge chapters on color imaging, psychophysical tools, and physiological color areas; the MATLAB toolbox has been prolonged with a qualified, optimized, toolbox to head along the present instructing toolbox; and a java toolbox has been additional for you to curiosity clients who're writing net purposes and/or applets or cellular phone applications.
Computational color technological know-how utilizing MATLAB 2nd Edition is a useful source for college students taking classes in color technological know-how, color chemistry and color physics in addition to technicians and researchers operating within the zone. additionally, it acts an invaluable reference for execs and researchers operating in color based industries equivalent to textiles, paints, print & digital imaging.
Review from First Edition:
“…highly advised as a concise creation to the practicalities of color science…” (Color know-how, 2004)
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Additional info for Computational Colour Science Using MATLAB
2+a3*xx. ˆ 3+a4*xx. ˆ 4 +a5*xx. ˆ 5; index = j-2; p(i,(index-1)*f+1) = r(j); p(i,(index-1)*f+1+1:(index-1)*f+1+f-1) = y; end p(i,f*(N-5)+1) = r(N-2); end end % =================================================== % *** END FUNCTION sprague % =================================================== The sprague function takes two arguments; the ﬁrst is an n × w matrix of n spectra, each deﬁned at w wavelengths, and the second is a factor f that indicates how much the spectra are interpolated ( f must be an integer of 2 or greater).
The polynomial should only be used to estimate reﬂectance values between λi and λi +1 . 2 where the 20 nm data have to interpolated to generate data at intervals of 1 nm. 9,19); y = a0+a1*x+a2*x. ˆ 2+a3*x. ˆ 3+ a4*x. ˆ 4+a5*x. ˆ 5; hold on plot(w,y,‘ro’) end Of course, the Sprague interpolation method cannot be used for the data points at the ends of the spectrum; this is a limitation of all piecewise ﬁtting methods. The CIE recommends a method for extrapolating four additional points, two at shorter wavelength intervals than available and two at longer wavelength intervals than available.
3 Solving Linear Systems The inv operator has already been introduced for computing the inverse of a matrix when solving a pair of simultaneous equations. The inv command can only be used to invert matrices that are square. For nonsquare matrices MATLAB provides the pinv command that computes a pseudoinverse. Whereas the inverse of a matrix A is denoted by the symbol A−1 ,the pseudoinverse is denoted by the symbol A+ . However, it is usually more efﬁcient and accurate (Borse, 1997) to solve systems of simultaneous equations using Gaussian elimination or, equivalently, by using MATLAB’s slash (/) or backslash (\) division.
Computational Colour Science Using MATLAB by Stephen Westland