| Description |
1 online resource |
| Contents |
Preface; A Quick Tour of the Contents; Acknowledgements; Contents; Part I Image Attributes and Aesthetic Aspects; 1 The Portrait and Landscape Genres; 1.1 The Portrait Genre; 1.2 The Landscape Genre; 1.3 Concluding Remarks; References; 2 The Colour Attributes of Paintings; 2.1 Painters, Paint and Colour Systems; 2.2 Colour Spaces; 2.3 Colour Contrast; 2.3.1 Itten's Contrasts; 2.3.2 Structural Contrasts; 2.3.3 Hue and Harmony; 2.4 Concluding Remarks; References; 3 Computational Models of Colour Contrast ; 3.1 Contrast Models for Simple Images; 3.2 Contrast Models for Complex Images |
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3.3 Contrast Models for Hue ContrastReferences; 4 The Geometric Attributes of Paintings; 4.1 Composition in Paintings; 4.1.1 The Rule of Thirds; 4.1.2 Region of Interest and the Horizon; 4.2 Vignetting; 4.3 Concluding Remarks; References; Part II Transfer of Aesthetic Values; 5 Global Colour Style Transfer; 5.1 Global Hue, Saturation and Lightness Analysis; 5.2 Hue Mapping; 5.2.1 RGB to RYB Conversion; 5.2.2 Dominant Hue Extraction; 5.2.3 Dominant Hue Alignment and Mapping; 5.3 Saturation and Lightness Mapping; 5.4 Experiments and Discussion; 5.5 Concluding Remarks; References |
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6 Atmospheric Perspective Effect Transfer for Landscape Photographs6.1 Introduction; 6.2 Related Work; 6.3 Paintings Versus Photographs; 6.3.1 Depth Planes; 6.3.2 Contrast in Paintings and Photographs; 6.4 Contrast Manipulation; 6.4.1 Reference Selection; 6.4.2 Depth-Aware Contrast Mapping; 6.5 Experiments and Discussion; 6.6 Concluding Remarks; References; 7 Regional Contrast Manipulation for Portrait Photograph Enhancement; 7.1 Introduction; 7.2 Related Work; 7.3 Paintings Versus Photographs; 7.4 Example-Based Portrait Photograph Enhancement; 7.4.1 Reference Selection |
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7.4.2 Contrast Mapping7.5 Experiments and Discussion; 7.6 Concluding Remarks; References; 8 Composition Improvement for Portrait Photographs; 8.1 Introduction; 8.2 Related Work; 8.3 Proposed Composition Improvement Method; 8.3.1 Graph Matching; 8.3.2 Space Cropping; 8.4 Experiments; 8.5 Concluding Remarks; References; 9 Vignetting Effect Transfer; 9.1 Introduction; 9.2 Related Work; 9.3 Vignetting Effect in Paintings; 9.4 Transfer of Painter-Style Vignetting to Photographs; 9.4.1 Lightness Weighting Pattern and Blending Function; 9.4.2 Lightness Weighting Pattern Correction |
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9.4.3 Content-Aware Interpolation9.4.4 Local Contrast Restoration; 9.5 Experiments and Discussion; 9.6 Concluding Remarks; References; 10 Defining Hue Contrast; 10.1 Introduction; 10.2 Related Work; 10.3 Defining Hue Contrast; 10.4 Our Approach; 10.5 Computational Details; 10.6 Results and Interpretations; 10.7 Evaluation Through a User Study; 10.8 Concluding Remarks; References; 11 Interactive Local Hue Contrast Manipulation; 11.1 Introduction; 11.2 Related Work; 11.3 Hue Manipulation Framework; 11.3.1 System Overview; 11.3.2 Segmentation; 11.3.3 Hue Histogram Selection |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Image processing -- Digital techniques.
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Image analysis.
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digital imaging.
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Image processing.
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Maths for scientists.
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Imaging systems & technology.
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COMPUTERS -- General.
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Image analysis
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Image processing -- Digital techniques
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| Form |
Electronic book
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| Author |
Zhang, Xiaoyan
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| ISBN |
9789811035616 |
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981103561X |
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