@inproceedings{Grundland:2005:SRM,
optpostscript = {},
optorganization = {},
author = {Mark Grundland and Chris Gibbs and Neil A. Dodgson},
optkey = {},
series = {SPIE Proceedings Series},
optannote = {},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Scott J. Daly},
url = {http://www.cl.cam.ac.uk/~mg290/Portfolio/StylizedRendering.html},
address = {Bellingham, Washington},
localfile = {papers/Grundland.2005.SRM.pdf},
optisbn = {},
publisher = {SPIE/IS\&T},
optkeywords = {},
optmonth = {},
optciteseer = {},
doi = {http://dx.doi.org/10.1117/12.596817},
volume = {5666},
optcrossref = {},
optwww = {},
booktitle = {Human Vision and Electronic Imaging X Conference (January 17--20,
2005, San Jose, USA)},
optnumber = {},
abstract = {By integrating stylized rendering with an efficient
multiresolution image representation, we enable the user to
control how compression affects the aesthetic appearance of an
image. Adopting a point-based rendering approach to progressive
image transmission and compression, we represent an image by a
sequence of color values. To best approximate the image at
progressive levels of detail, a novel, adaptive farthest point
sampling algorithm balances global coverage with local precision.
Without storing any spatial information apart from the aspect
ratio, the spatial position of each color value is inferred from
the preceding members of the sampling sequence. Keeping track of
the spatial influence of each sample on the rendition, 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. Comparing our results with JPEG,
we conclude with a brief overview of the implications of using
non-photorealistic representations for highly compressed
imagery.},
title = {{S}tylized {R}endering for {M}ultiresolution {I}mage
{R}epresentation},
year = {2005},
pages = {280--292},
}
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