Structure-tensor-based anisotropic rolling filter for image smoothing

Kouichirou Yoshimura; Yuelan Xin; Ning Xie; Xiaohua Zhang

doi:10.1117/12.2517892

22 March 2019 Structure-tensor-based anisotropic rolling filter for image smoothing

Kouichirou Yoshimura, Yuelan Xin, Ning Xie, Xiaohua Zhang

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104904 (2019) https://doi.org/10.1117/12.2517892
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

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.

Citation Download Citation

Kouichirou Yoshimura, Yuelan Xin, Ning Xie, and Xiaohua Zhang "Structure-tensor-based anisotropic rolling filter for image smoothing", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104904 (22 March 2019); https://doi.org/10.1117/12.2517892

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