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Proceedings Paper

Edge-preserving smoothing for image decomposition via a hybrid approach
Author(s): Yang Wang; Hongzhi Liu; Zhonghai Wu
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Paper Abstract

Edge-preserving smoothing is crucial for image decomposition to extract the base layer. However, current methods fail to smooth high-contrast details or preserve thin edges due to their single criterion for distinguishing edges and details. In this paper, we present a hybrid definition for salient edges using two properties: intensity amplitude and oscillations density. Based on this definition, we propose an edge-preserving image smoothing algorithm. Firstly local extrema of the input image are located. Then these extrema points are classified into edge or detail points by the two properties. Thirdly, max and min envelops are obtained by an optimizing process with edge points as constrains. Lastly, the smoothing result is obtained by an averaging operation. Experimental results show that the proposed method can preserve salient step edges while smoothing high-contrast details and is useful in many applications such as image enhancement and hatch-to-tone mapping.

Paper Details

Date Published: 10 January 2014
PDF: 8 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691N (10 January 2014); doi: 10.1117/12.2050046
Show Author Affiliations
Yang Wang, Peking Univ. (China)
Hongzhi Liu, Peking Univ. (China)
Zhonghai Wu, Peking Univ. (China)

Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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