A cross-based filter for fast edge-preserving smoothing

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. © 2011 SPIE-IS&T.Zhang K., Lu J., Lafruit G., Lauwereins R., Van Gool L., ''A cross-based filter for fast edge-preserving smoothing'', Proceedings SPIE-IS&T electronic imaging - real-time image and video processing 2011, vol. 7871, pp. 78710H-1-78710H-8, January 23-27, 2011, San Francisco, California, USA.status: publishe

A cross-based filter for fast edge-preserving smoothing

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