Glass Patterns and Artistic Imaging

Giuseppe Papari*, Nicolai Petkov

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
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Abstract

The theory of Glass patterns naturally combines three essential aspects of painterly artworks: perception, randomness, and geometric structure. Therefore, it seems a suitable framework for the development of mathematical models of the visual properties that distinguish paintings from photographic images. With this contribution, we introduce a simple mathematical operator which transfers the microstructure of a Glass pattern to an input image, and we show that its output is perceptually similar to a painting. An efficient implementation is presented. Unlike most of the existing techniques for unsupervised painterly rendering, the proposed approach does not introduce 'magic numbers' and has a nice and compact mathematical description, which makes it suitable for further theoretical analysis. Experimental results on a broad range of input images validate the effectiveness of the proposed method in terms of lack of undesired artifacts, which are present with other existing methods, and easy interpretability of the input parameters.

Original languageEnglish
Title of host publicationADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PROCEEDINGS
EditorsT Wada, F Huang, S Lin
Place of PublicationBERLIN
PublisherSpringer
Pages1034-1045
Number of pages12
ISBN (Print)978-3-540-92956-7
Publication statusPublished - 2009
Event3rd Pacific-Rim Symposium on Image and Video Technology (PSIVT 2009) - , Japan
Duration: 13-Jan-200916-Jan-2009

Publication series

NameLecture Notes in Computer Science
PublisherSPRINGER-VERLAG BERLIN
Volume5414
ISSN (Print)0302-9743

Other

Other3rd Pacific-Rim Symposium on Image and Video Technology (PSIVT 2009)
Country/TerritoryJapan
Period13/01/200916/01/2009

Keywords

  • NEURONS

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