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Real-Time Weighted Median Filtering with the Edge-Aware 4D Bilateral Grid

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E-Learning and Games (Edutainment 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9654))

Abstract

Weighted median filtering is a fundamental operator in a great variety of image processing and computer graphics applications. This paper presents a novel real-time weighted median filter which smoothes out high-frequency details while preserving major edges. We define a new 4D bilateral grid by incorporating the 3D bilateral grid with an additional range dimension. The edge-aware weights and the weighted median values are computed in the 4D space. The proposed algorithm is highly parallel, enabling real-time GPU-based edge-aware implementation. Experimental results show that our algorithm can be run efficiently in real-time on modern GPUs. Applications including JPEG artifact removal and image stylization are demonstrated to verify the feasibility of the proposed weighted median filtering algorithm.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 61100146), the Zhejiang Provincial Natural Science Foundation of China (Grant No. LY15F020019), the Science and Technology Planning Project of Wenzhou, China (Grant No. G20150019), and the Open Project Program of the State Key Lab of CAD&CG (Grant No. A1610), Zhejiang University. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the GeForce GTX Titan X GPU used for this research.

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Authors and Affiliations

  1. Intelligent Information Systems Institute, Wenzhou University, Wenzhou, 325035, China

    Hanli Zhao, Dandan Gao & Ming Wang

  2. Digital Media and HCI Research Center, Hangzhou Normal University, Hangzhou, 311121, China

    Zhigeng Pan

Authors
  1. Hanli Zhao
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  2. Dandan Gao
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  3. Ming Wang
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  4. Zhigeng Pan
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Corresponding author

Correspondence to Zhigeng Pan .

Editor information

Editors and Affiliations

  1. Computer Science, John Moores University, Liverpool, United Kingdom

    Abdennour El Rhalibi

  2. Science and Technology, Bournemouth University, Bournemouth, United Kingdom

    Feng Tian

  3. Hangzhou Normal University, Hangzhou, Zhejiang, China

    Zhigeng Pan

  4. Computer Science and Technology, University of Bedfordshire, Luton, United Kingdom

    Baoquan Liu

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Zhao, H., Gao, D., Wang, M., Pan, Z. (2016). Real-Time Weighted Median Filtering with the Edge-Aware 4D Bilateral Grid. In: El Rhalibi, A., Tian, F., Pan, Z., Liu, B. (eds) E-Learning and Games. Edutainment 2016. Lecture Notes in Computer Science(), vol 9654. Springer, Cham. https://doi.org/10.1007/978-3-319-40259-8_11

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  • DOI: https://doi.org/10.1007/978-3-319-40259-8_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40258-1

  • Online ISBN: 978-3-319-40259-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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