Stylized Multiresolution Image Representation
Web: www.Eyemaginary.com
Email: Mark@Eyemaginary.com
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Citation:
Style and Content in Digital Imaging:
Reconciling Aesthetics with Efficiency in Image Representation
Mark Grundland
VDM Verlag, Saarbrucken, Germany (2008). ISBN 3639063074 / ISBN 9783639063073.
Available from Amazon: USA, UK, Canada, France, Germany, and Japan.
Earlier version appeared in the first section of the author's Ph.D. in Computer Science (University of Cambridge, United Kingdom, July 2007).Stylized Multiresolution Image Representation
Mark Grundland, Chris Gibbs, and Neil A. Dodgson
Journal of Electronic Imaging, vol. 17, no. 1, pp. 013009:1-17, (2008). ISSN 1017-9909.
Presented also as a talk at the EUROGRAPHICS Workshop on Computational Aesthetics in Graphics, Visualization and Imaging (Girona, Spain, 18-20 May 2005).Stylized Rendering For Multiresolution Image Representation
Mark Grundland, Chris Gibbs, and Neil A. Dodgson
Proceedings of SPIE, vol. 5666, pp. 280-292, SPIE, (2005). ISBN 081945639X.
Presented as a talk at the Electronic Imaging Symposium, Human Vision and Electronic Imaging X Conference (San Jose, USA, 17-20 January 2005).
Abstract:
We integrate stylized rendering with an efficient multiresolution image representation, enabling a user to control how compression affects the aesthetic appearance of an image. We adopt a point-based rendering approach to progressive image transmission and compression. We use a novel, adaptive farthest point sampling algorithm to represent the image at progressive levels of detail, balancing global coverage with local precision. A progressively generated discrete Voronoi diagram forms the common foundation for our sampling and rendering framework. This framework allows us to extend traditional photorealistic methods of image reconstruction by scattered data interpolation to encompass non-photorealistic rendering. It supports a wide variety of artistic rendering styles based on geometric subdivision or parametric procedural textures. Genetic programming enables the user to create original rendering styles through interactive evolution by aesthetic selection. We compare our results with conventional compression, and we discuss the implications of using non-photorealistic representations for highly compressed imagery.
Online:
Journal Paper + Conference Paper
Book Contents + Book Outlook + Book Bibliography
Illustrations + Presentation + Animation + Slideshow + Abstract
Animated Journal Figures: Figure 1 + Figure 8
Animated Conference Figures: Figure 1 + Figure 2 + Figure 3 + Figure 5
Applications:
Voronoi Video Stylisation
C. Richardt and N. A. Dodgson
Proceedings of Computer Graphics International: Short Papers, ACM, (2009).
Examples:
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