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Proceedings Paper

A cross-based filter for fast edge-preserving smoothing
Author(s): Ke Zhang; Jiangbo Lu; Gauthier Lafruit; Rudy Lauwereins; Luc Van Gool
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Paper Abstract

In this paper, we present a local adaptive filter for fast edge-preserving smoothing, a so-called cross-based filter. The filter is mainly built on upright crosses and captures the local image structures adaptively. The cross-based filter has some resemblance with the classic bilateral filter, when binarizing the support weight and imposing a spatial connectivity constraint. For edge-preserving smoothing, our cross-based filter is capable of reaching similar performance as bilateral filter, while being dozens of times faster. The proposed filter can be applied in near-constant time, using the integral images technique. In addition, the cross-based filter is highly parallel and suitable for parallel computing platforms, e.g. GPUs. The strength of the proposed filter is illustrated in several applications, i.e. denoising and image abstraction.

Paper Details

Date Published: 2 February 2011
PDF: 8 pages
Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 78710H (2 February 2011); doi: 10.1117/12.872454
Show Author Affiliations
Ke Zhang, IMEC (Belgium)
Katholieke Univ. Leuven (Belgium)
Jiangbo Lu, Advanced Digital Sciences Ctr. (Singapore)
Gauthier Lafruit, IMEC (Belgium)
Rudy Lauwereins, IMEC (Belgium)
Katholieke Univ. Leuven (Belgium)
Luc Van Gool, Katholieke Univ. Leuven (Belgium)
ETH Zurich (Switzerland)

Published in SPIE Proceedings Vol. 7871:
Real-Time Image and Video Processing 2011
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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