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Computational approaches in the tran...

Zhang, Xiaoyan.

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Computational approaches in the transfer of aesthetic values from paintings to photographs = beyond red, green and blue /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational approaches in the transfer of aesthetic values from paintings to photographs/ by Xiaoyan Zhang ... [et al.].
Reminder of title:	beyond red, green and blue /
other author:	Zhang, Xiaoyan.
Published:	Singapore :Springer Singapore : : 2018.,
Description:	xv, 205 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Colour Attributes of Paintings -- Geometric Attributes of Paintings -- Paintings Versus Photographs -- Computational Algorithms: Colour Attributes -- Future Work.
Contained By:	Springer eBooks
Subject:	Image processing - Digital techniques. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-3561-6
ISBN:	9789811035616

Computational approaches in the transfer of aesthetic values from paintings to photographs = beyond red, green and blue /
Computational approaches in the transfer of aesthetic values from paintings to photographsbeyond red, green and blue /[electronic resource] :by Xiaoyan Zhang ... [et al.]. - Singapore :Springer Singapore :2018. - xv, 205 p. :ill., digital ;24 cm.

Introduction -- Colour Attributes of Paintings -- Geometric Attributes of Paintings -- Paintings Versus Photographs -- Computational Algorithms: Colour Attributes -- Future Work.

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.

ISBN: 9789811035616

Standard No.: 10.1007/978-981-10-3561-6doiSubjects--Topical Terms:

532550
Image processing
--Digital techniques.

LC Class. No.: TA1637

Dewey Class. No.: 006.6

Computational approaches in the transfer of aesthetic values from paintings to photographs = beyond red, green and blue /
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245 0 0 $a Computational approaches in the transfer of aesthetic values from paintings to photographs $h [electronic resource] : $b beyond red, green and blue / $c by Xiaoyan Zhang ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a xv, 205 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Colour Attributes of Paintings -- Geometric Attributes of Paintings -- Paintings Versus Photographs -- Computational Algorithms: Colour Attributes -- Future Work.
520 $a 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.
650 0 $a Image processing $x Digital techniques. $3 532550
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650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Computational Science and Engineering. $3 893018
700 1 $a Zhang, Xiaoyan. $3 1025232
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856 4 0 $u http://dx.doi.org/10.1007/978-981-10-3561-6
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