Efficient coding of stroke-rendered paintings

Levente Kovács, Tamás Szirányi

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

There are more and more applications of non-photorealistic rendered images, sketches and drawings. Several techniques for generating such imagery are widely known. The stochastic painting-based painterly image (and video) generation presented herein is a multipurpose image rendering and representation method, suitable for many purposes: painterly rendering, storing, compression or indexing. It incorporates many new features like multiscale edge following, stroke-set optimizations, templates, color morphology, etc. We will demonstrate that the presented technique (called enhanced Stochastic Paintbrush Transformation or eSPT) is suitable for fast high quality painterly rendering, providing good lossless painted compression ratios and features that make it suitable for many applications.One of these we wish to emphasize is the suitability to code painted images in a way that does not introduce any coding artifacts (blockiness, ringings, etc.) but provides a compact form of representation that still retains the main property of a painting: that it is a painting after all.

Original languageEnglish
Pages (from-to)835-838
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume2
Publication statusPublished - Dec 17 2004
EventProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
Duration: Aug 23 2004Aug 26 2004

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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