@inproceedings{c0563fd942804ad68790f89c5f6fe606,
title = "Image abstraction using anisotropic diffusion symmetric nearest neighbor filter",
abstract = "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.",
keywords = "Anisotropic diffusion, Artistic stylization, Edge-preserving filters, Image abstraction",
author = "Zoya Shahcheraghi and John See and {Abdul Halin}, Alfian",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 15th Pacific-Rim Conference on Multimedia 2014, PCM 2014 ; Conference date: 01-12-2014 Through 04-12-2014",
year = "2014",
doi = "10.1007/978-3-319-13168-9_38",
language = "English",
isbn = "9783319131672",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "343--352",
editor = "Ooi, {Wei Tsang} and Snoek, {Cees G.M.} and Tan, {Hung Khoon} and Chin-Kuan Ho and Benoit Huet and Chong-Wah Ngo",
booktitle = "Advances in Multimedia Information Processing. PCM 2014",
}