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Computing Colour Image Processing: Digital Colour Primer

Autor Alan Parkin
en Limba Engleză Paperback – 9 apr 2018
This book proposes a new approach to colour in digital images, based on the standard sRGB colour space and Python scripting. It covers creating, storing, processing, displaying, printing, and viewing colour images. The fundamental ideas presented include systematic reduction of colour resolution to manageable sRGB sub-spaces, analysis of any image as a tabular colour scheme, general transformation and specific substitution of colours, and revival of the traditional notion of a neutral balance by adjusting all colours or by adjoining a colour frame. The text includes Python scripts for the processes discussed, downloadable in the e-book. It is of interest to artists, designers, and anyone who works with sRGB colour images. 
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Specificații

ISBN-13: 9783319740751
ISBN-10: 331974075X
Pagini: 100
Ilustrații: XI, 143 p. 101 illus., 76 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Fundamentals.- Color Scheme.- Analyzing an Image.- Color Palettes.- Greyscale Palettes.- Color Substitutions.- Color Transformations.- Neutral Color Scheme.- Some Examples.

Notă biografică

Alan Parkin graduated in Moral Sciences at Peterhouse, Cambridge, in 1958. He got two first prizes for wallpaper and fabrics in the Sanderson Centenary competition, 1958. In 1959 he woreked and traveled in France, Spain, Marocco and Italy. He was production Editor, Architects' Journal, London, 1960, Henrion Design Associates, London, 1961-70. He co-author with FHK Henrion the book Design Coordination and Corporate Image (Studio Vista, 1967). His further activites included being exhibitor, Cybernetic Serendipity, ICA London, 1968, programmer at Doxiadis Associates, Athens, 1971, systems analyst, Computer Techniques International, Athens 1972-83, and director, London, 1983-2000. He authored dthe book Digital Imaging (Springer, 2016).

Caracteristici

Proposes a new approach to digital colour via the standard sRGB colour space using programming Presents methods applicable to any image in the sRGB colour space, with any count of colour in any extent Provides a neutral-balance norm for images using programmed transformations or colour framing