Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs : Beyond Red, Green and Blue

Description

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. Front Matter....Pages i-xv Front Matter....Pages 1-1 The Portrait and Landscape Genres....Pages 3-8 The Colour Attributes of Paintings....Pages 9-32 Computational Models of Colour Contrast ....Pages 33-37 The Geometric Attributes of Paintings....Pages 39-51 Front Matter....Pages 53-53 Global Colour Style Transfer....Pages 55-70 Atmospheric Perspective Effect Transfer for Landscape Photographs....Pages 71-105 Regional Contrast Manipulation for Portrait Photograph Enhancement....Pages 107-135 Composition Improvement for Portrait Photographs....Pages 137-153 Vignetting Effect Transfer....Pages 155-178 Defining Hue Contrast....Pages 179-189 Interactive Local Hue Contrast Manipulation....Pages 191-205