Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs

Beyond Red, Green and Blue

  • Xiaoyan Zhang
  • Martin Constable
  • Kap Luk Chan
  • Jinze Yu
  • Wang Junyan

Table of contents

  1. Front Matter
    Pages i-xv
  2. Image Attributes and Aesthetic Aspects

    1. Front Matter
      Pages 1-1
    2. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 3-8
    3. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 9-32
    4. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 33-37
    5. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 39-51
  3. Transfer of Aesthetic Values

    1. Front Matter
      Pages 53-53
    2. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 55-70
    3. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 71-105
    4. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 107-135
    5. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 137-153
    6. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 155-178
    7. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 179-189
    8. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
      Pages 191-205

About this book

Introduction

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.

Keywords

Atmospheric Perspective Effect Transfer Colour Attributes Paintings Computational Aesthetics Geometric Attributes Paintings Painting Style Transfer Portrait Photograph Enhancement RGB to HSL Conversion Regional Contrast Manipulation

Authors and affiliations

  • Xiaoyan Zhang
    • 1
  • Martin Constable
    • 2
  • Kap Luk Chan
    • 3
  • Jinze Yu
    • 4
  • Wang Junyan
    • 5
  1. 1.College of Computer Science and Software EngineeringShenzhen University College of Computer Science and Software EngineeringShenzhenChina
  2. 2.Royal Melbourne Institute of Technology Ho Chi MinhVietnam
  3. 3.Tolendata Singapore R&D Centre Pvt Ltd SingaporeSingapore
  4. 4.The University of TokyoInstitute of Industrial Science The University of TokyoTokyoJapan
  5. 5.University of Southern California Los AngelesUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-3561-6
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-3559-3
  • Online ISBN 978-981-10-3561-6
  • About this book
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