Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs: Beyond Red, Green and Blue
Autor Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyanen Limba Engleză Paperback – 12 mai 2018
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Specificații
ISBN-13: 9789811099069
ISBN-10: 9811099065
Pagini: 205
Ilustrații: XV, 205 p. 148 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.32 kg
Ediția:Softcover reprint of the original 1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9811099065
Pagini: 205
Ilustrații: XV, 205 p. 148 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.32 kg
Ediția:Softcover reprint of the original 1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
Cuprins
Introduction.- Colour Attributes of Paintings.- Geometric Attributes of Paintings.- Paintings Versus Photographs.- Computational Algorithms: Colour Attributes.- Future Work.
Textul de pe ultima copertă
This book examines paintings using a computational and quantitative approach. Specifically, it compares paintings to photographs, addressing the strengths and limitations of both. Particular aesthetic practices are examined such as the vista, foreground to background organisation and the depth planes. These are analysed using a range of computational approaches and clear observations are made. New generations of image-capture devices such as Google goggles and the light field camera, promise a future in which the formal attributes of a photograph are made available for editing to a degree that has hitherto been the exclusive territory of painting. In this sense paintings and photographs are converging, and it therefore seems an opportune time to study the comparisons between them. In this context, the book includes cutting-edge work examining how some of the aesthetic attributes of a painting can be transferred to a photograph using the latest computational approaches.
Caracteristici
Explains how some of the esthetic attributes of a painting may be transferred to a photograph using the latest in computational approaches Shares many tips and insights into next-generation image improvement Written by leading experts in the field Includes supplementary material: sn.pub/extras