Edge-preserving smoothing for image decomposition via a hybrid approach

Yang Wang; Hongzhi Liu; Zhonghai Wu

doi:10.1117/12.2050046

10 January 2014 Edge-preserving smoothing for image decomposition via a hybrid approach

Yang Wang, Hongzhi Liu, Zhonghai Wu

Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 90691N (2014) https://doi.org/10.1117/12.2050046
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China

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.

Citation Download Citation

Yang Wang, Hongzhi Liu, and Zhonghai Wu "Edge-preserving smoothing for image decomposition via a hybrid approach", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691N (10 January 2014); https://doi.org/10.1117/12.2050046

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KEYWORDS

Image enhancement

Image processing

Nonlinear filtering

Image filtering

Image fusion

Image segmentation

Visualization

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