Stephen Westland, Caterina Ripamonti, Vien Cheung(auth.),'s Computational Colour Science using MATLAB®, Second edition PDF

By Stephen Westland, Caterina Ripamonti, Vien Cheung(auth.), Michael A. Kriss(eds.)

ISBN-10: 0470665696

ISBN-13: 9780470665695

ISBN-10: 0470710896

ISBN-13: 9780470710890

Computational color technological know-how utilizing MATLAB 2nd Edition deals a realistic, problem-based method of color physics. The publication makes a speciality of the foremost concerns encountered in smooth color engineering, together with effective illustration of color details, Fourier research of reflectance spectra and complex colorimetric computation. Emphasis is put on the sensible functions instead of the ideas themselves, with fabric established round key issues. those issues contain color calibration of visible screens, desktop recipe prediction and types for colour-appearance prediction.

every one subject is punctiliously brought at 3 degrees to help scholar realizing. First, theoretical rules and historical past info are mentioned, then causes of mathematical options keep on with and at last functional ideas are provided utilizing MATLAB. The content material contains:

  • A compendium of equations and numerical information required by means of the fashionable color and imaging scientist.
  • Numerous examples of recommendations and algorithms for a wide-range of computational difficulties in color technological know-how.
  • Example scripts utilizing the MATLAB programming language.

This 2nd variation comprises great new and revised fabric, together with 3 leading edge chapters on color imaging, psychophysical equipment, and physiological color areas; the MATLAB toolbox has been prolonged with a qualified, optimized, toolbox to move along the present educating toolbox; and a java toolbox has been further as a way to curiosity clients who're writing net functions and/or applets or cellular phone applications.

Computational color technological know-how utilizing MATLAB 2nd Edition is a useful source for college kids taking classes in color technological know-how, color chemistry and color physics in addition to technicians and researchers operating within the sector. moreover, it acts an invaluable reference for pros and researchers operating in color established industries akin to textiles, paints, print & digital imaging.

overview from First Edition:
“…highly instructed as a concise creation to the practicalities of color science…” (Color expertise, 2004)Content:
Chapter 1 advent (pages 1–11):
Chapter 2 Linear Algebra for newbies (pages 13–18):
Chapter three a quick creation to MATLAB® (pages 19–26):
Chapter four Computing CIE Tristimulus Values (pages 27–47):
Chapter five CIELAB and color distinction (pages 49–74):
Chapter 6 Chromatic?Adaptation Transforms and color visual appeal (pages 75–92):
Chapter 7 Physiological color areas (pages 93–118):
Chapter eight color administration (pages 119–129):
Chapter nine show Characterisation (pages 131–141):
Chapter 10 Characterisation of Cameras (pages 143–157):
Chapter eleven Characterisation of Printers (pages 159–178):
Chapter 12 Multispectral Imaging (pages 179–196):

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Extra info for Computational Colour Science using MATLAB®, Second edition

Sample text

2 CIELAB and CIELUV Colour Space Between 1940 and 1976 a great number of colour spaces, transformations of XYZ , were proposed as uniform colour spaces. Some of these, such as HunterLab and ANLAB were quite successful but in 1976 the CIE agreed upon two transformations that led to CIELAB and CIELUV. 1) Where: f (I ) = I 1/3 if I >(6/29)3 and f (I ) = (841/108)(I ) + 4/29 if I ≤ (6/29)3 . 1, Xn , Yn and Zn are the tristimulus values for the appropriately chosen reference white. For surface colours the values of Xn , Yn and Zn are usually computed for the perfect reflecting diffuser and are therefore equivalent to the tristimulus values of the illuminant itself.

To enter a 2 × 2 matrix called A, we can enter the following at the prompt of the Command Window. A = [1 1; 1 -1]; Notice that the entries of A were entered within square brackets and that the rows were separated by a semi-colon. The final semi-colon at the end of the line is optional; if it is not present MATLAB will echo the values of A to the Command Window when the Return key is pressed. 9 we need to multiple the column matrix q by the inverse of matrix A. A major feature of MATLAB is that it provides many built-in high-level functions and the function inv returns the inverse of a square matrix.

1026). 5282). Note that if we represented these two problems graphically then they would be identical since multiplying an equation by a common factor throughout does not change it. The difference in the two solutions highlights an important property of the solution of such over-determined systems in that the solution provided by pinv or the backslash operator is a least-squares solution. That is, for a = Mx the solution x is that which minimises the squares of the errors between actual values of the column matrix a and predicted values of a given x.

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Computational Colour Science using MATLAB®, Second edition by Stephen Westland, Caterina Ripamonti, Vien Cheung(auth.), Michael A. Kriss(eds.)

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