By Stephen Westland
Computational color technological know-how utilizing MATLAB 2nd Edition deals a realistic, problem-based method of color physics. The booklet specializes in the most important concerns encountered in sleek 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 innovations themselves, with fabric based round key issues. those themes contain color calibration of visible monitors, computing device recipe prediction and versions for colour-appearance prediction.
Each subject is thoroughly brought at 3 degrees to help pupil figuring out. First, theoretical rules and heritage details are mentioned, then reasons of mathematical strategies stick to and eventually sensible suggestions are offered utilizing MATLAB. The content material includes:
- A compendium of equations and numerical information required via the trendy color and imaging scientist.
- Numerous examples of recommendations and algorithms for a wide-range of computational difficulties in color science.
- Example scripts utilizing the MATLAB programming language.
This 2nd version comprises big new and revised fabric, together with 3 cutting edge chapters on color imaging, psychophysical equipment, and physiological color areas; the MATLAB toolbox has been prolonged with a certified, optimized, toolbox to head along the present educating toolbox; and a java toolbox has been additional in order to curiosity clients who're writing internet functions and/or applets or cell 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 region. moreover, it acts an invaluable reference for execs and researchers operating in color based industries comparable to textiles, paints, print & digital imaging.
Review from First Edition:
“…highly steered 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
Example text
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. Thus if X is the matrix that is required then AX = B is solved by X = A\B and XA = B is solved by X = B/A. 9 may be solved by: p = A\q; For some linear systems solving using the inv and pinv commands will generate identical results to the backslash operator.
3 Y /Yn , and: u ∗ = 13L∗ u − un v ∗ = 13L∗ v − vn where u and v are the coordinates of the so-called uniform chromaticity space, CIE 1976 UCS, which is a linear transform of the more usual xy chromaticity space, thus: u = 4X /(X + 15Y + 3Z ) v = 9Y /(X + 15Y + 3Z ). 7 again refers to the neutral point. 9) ∗ (180/π ) . 10) The function xyz2luv computes CIELUV values from XYZ tristimulus values. A typical call would be: [luv,up,vp] = xyz2luv(xyz,‘d65_64’); where xyz represents an n × 3 matrix. Note that the function returns an n × 3 matrix luv containing the CIELUV values but that u and v are also returned, each as an n × 1 column matrix3 .
Great care should be exercised in implementing conditional if statements when using matrix operations. The above code segment illustrates a neat way to handle conditional statements that would normally appear within a for loop. An n × 1 column vector of zeros and ones called index is first generated and is then used to direct the conditional statements. This method is used repeatedly through this book. 2 (see later in this chapter). Note that the ASTM standard specifies that the white points listed at the bottom of each of the tables in the standard should be used for the values of Xn , Yn and Zn during computations where the neutral point is required.