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Proceedings Paper • new

Structure-tensor-based anisotropic rolling filter for image smoothing
Author(s): Kouichirou Yoshimura; Yuelan Xin; Ning Xie; Xiaohua Zhang
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Paper Abstract

Filtering image by eliminating irrelevant details as could as possible while preserving structure edge and corner becomes very important in the fields such as image processing and computer vision etc. In this paper, we present an Anisotropic Rolling Filter (ARF) for smoothing image while preserving important structure edge and corner. The proposed filter implements an extended cross bilateral filter, in which the range weights are updated in an iterative manner, while the spatial Gaussian weights are computed in anisotropic directions instead of isotropic directions. The anisotropic directions are computed based on structure tensors which are calculated at each pixel to determine structure orientations. Compared with the original rolling guidance filter, it is found that the proposed anisotropic rolling filter has stronger smoothing and structure preserving ability.

Paper Details

Date Published: 22 March 2019
PDF: 6 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104904 (22 March 2019); doi: 10.1117/12.2517892
Show Author Affiliations
Kouichirou Yoshimura, Hiroshima Institute of Technology (Japan)
Yuelan Xin, Qinghai Normal Univ. (China)
Ning Xie, Univ. of Electronic Science and Technology of China (China)
Xiaohua Zhang, Hiroshima Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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