Image abstraction using anisotropic diffusion symmetric nearest neighbor filter

Zoya Shahcheraghi*, John See, Alfian Abdul Halin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Image abstraction is an increasingly important task in various multimedia applications. It involves the artificial transformation of photorealistic images into cartoon-like images. To simplify image content, the bilateral and Kuwahara filters remain popular choices to date. However, these methods often produce undesirable over-blurring effects and are highly susceptible to the presence of noise. In this paper, we propose an image abstraction technique that balances region smoothing and edge preservation. The coupling of a classic Symmetric Nearest Neighbor (SNN) filter with anisotropic diffusion within our abstraction framework enables effective suppression of local patch artifacts. Our qualitative and quantitative evaluation demonstrate the significant appeal and advantages of our technique in comparison to standard filters in literature.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing. PCM 2014
EditorsWei Tsang Ooi, Cees G.M. Snoek, Hung Khoon Tan, Chin-Kuan Ho, Benoit Huet, Chong-Wah Ngo
Number of pages10
ISBN (Electronic)9783319131689
ISBN (Print)9783319131672
Publication statusPublished - 2014
Event15th Pacific-Rim Conference on Multimedia 2014 - Kuching, Malaysia
Duration: 1 Dec 20144 Dec 2014

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th Pacific-Rim Conference on Multimedia 2014
Abbreviated titlePCM 2014


  • Anisotropic diffusion
  • Artistic stylization
  • Edge-preserving filters
  • Image abstraction

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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