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A robust fuzzy-bilateral filtering method and its application to video deinterlacing

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Abstract

Deinterlacing converts an interlaced field to progressive frames while sustaining and improving image details. This is one of the key operations of image processing. However, filter-based interpolation and detail enhancement are contradictory operations. Therefore, it is hard to implement two such operations simultaneously. In this paper, we propose a robust fuzzy-bilateral filtering method and its application to video deinterlacing. The proposed bilateral filtering concept considers the range and domain filters based on a fuzzy metric. This characteristic is adaptively applied to both existing pixel activity and the associated position between existing neighbor pixels and the missing pixels. Simulation results prove that the proposed method can efficiently interpolate the interlaced field while enhancing detail.

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Notes

  1. All compared methods were re-implemented by the authors. Thus, the performances and computational times of other algorithms can be slightly different from their original articles.

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Acknowledgments

This work was supported by the Incheon National University Research Grant in 2012.

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Authors and Affiliations

  1. Department of Embedded Systems Engineering, Incheon National University, 12-1 Songdo-dong, Yeonsu-gu, Incheon, 406-772, Korea

    Gwanggil Jeon & SeokHoon Kang

  2. Department of Computer Science and Engineering, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan Kyeonggi-do, 426-791, Korea

    Jong-Kyu Lee

Authors
  1. Gwanggil Jeon
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  2. SeokHoon Kang
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  3. Jong-Kyu Lee
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Corresponding authors

Correspondence to Gwanggil Jeon or Jong-Kyu Lee.

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Jeon, G., Kang, S. & Lee, JK. A robust fuzzy-bilateral filtering method and its application to video deinterlacing. J Real-Time Image Proc 11, 223–233 (2016). https://doi.org/10.1007/s11554-013-0336-3

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