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Two-level joint local laplacian texture filtering

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Abstract

Extracting the structure component from an image with textures is a challenging problem. This paper presents a novel structure-preserving texture-filtering approach based on the two-level local Laplacian filter. The new texture-filtering method is developed by introducing local Laplacian filters into the joint filtering. Our study shows that local Laplacian filters can also be used for texture smoothing by defining a special remapping function, which is closely related to joint bilateral filtering. This finding leads to a variant of the joint bilateral filter, which produces smooth edges while preserving color variations. Our filter shares similar advantages with the joint bilateral filter, such as being simple to implement and easy to understand. Experiments demonstrate that the new filter can produce satisfactory filtering results with the properties of texture smoothing, smooth edges, and edge shape preserving. We compare our method with the state-of-the-art methods to demonstrate its improvements, and apply this filter to a variety of image-editing applications.

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Acknowledgments

Xiaogang Jin was supported by the National Natural Science Foundation of China (Grant Nos. 61472351 and 61272298). Hui Du was supported by the Open Project Program of the State Key Lab of CAD&CG (Grant No. A1510), Zhejiang University.

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Authors and Affiliations

  1. New Media College, Zhejiang University of Media and Communications, Hangzhou, 310018, China

    Hui Du

  2. State Key Lab of CAD&CG, Zhejiang University, Hangzhou, 310058, China

    Xiaogang Jin

  3. Department of Computer Science, University of Bath, Bath, BA2 7AY, UK

    Philip J. Willis

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  1. Hui Du
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  2. Xiaogang Jin
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  3. Philip J. Willis
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Corresponding authors

Correspondence to Hui Du or Xiaogang Jin.

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Du, H., Jin, X. & Willis, P.J. Two-level joint local laplacian texture filtering. Vis Comput 32, 1537–1548 (2016). https://doi.org/10.1007/s00371-015-1138-3

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  • DOI: https://doi.org/10.1007/s00371-015-1138-3

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