A cross-based filter for fast edge-preserving smoothing

Ke Zhang; Jiangbo Lu; Gauthier Lafruit; Rudy Lauwereins; Luc Van Gool

doi:10.1117/12.872454

2 February 2011 A cross-based filter for fast edge-preserving smoothing

Ke Zhang, Jiangbo Lu, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool

Proceedings Volume 7871, Real-Time Image and Video Processing 2011; 78710H (2011) https://doi.org/10.1117/12.872454
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

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.

Citation Download Citation

Ke Zhang, Jiangbo Lu, Gauthier Lafruit, Rudy Lauwereins, and Luc Van Gool "A cross-based filter for fast edge-preserving smoothing", Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 78710H (2 February 2011); https://doi.org/10.1117/12.872454

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