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Spectral Saliency-Based Video Deinterlacing

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Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9875))

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Abstract

A spectral saliency-based motion compensated deinterlacing method is proposed in the sequel. We present a block-based deinterlacing method wherein the interpolation strategy is taken upon both field texture and viewer’s region of interest, for ensuring high quality frame interpolation. The proposed deinterlacer overpasses the classical interpolation approaches for both objective and subjective quality results and has a low complexity in comparison with the state of the art deinterlacers.

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Author information

Authors and Affiliations

  1. Institut Superieur d’Electronique de Paris, 28 rue Notre Dame des Champs, Paris, France

    Umang Aggarwal & Maria Trocan

  2. Valenciennes University, EMN (UMR CNRS 8520) Department OAE, 59313, Valenciennes Cedex 9, France

    Francois-Xavier Coudoux

Authors
  1. Umang Aggarwal
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  2. Maria Trocan
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  3. Francois-Xavier Coudoux
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Corresponding author

Correspondence to Maria Trocan .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc-Thanh Nguyen

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Lazaros Iliadis

  3. Department of Forestry and Management, Democritus University of Thrace, Orestiada, Thrace, Greece

    Yannis Manolopoulos

  4. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

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© 2016 Springer International Publishing Switzerland

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Aggarwal, U., Trocan, M., Coudoux, FX. (2016). Spectral Saliency-Based Video Deinterlacing. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_54

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  • DOI: https://doi.org/10.1007/978-3-319-45243-2_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45242-5

  • Online ISBN: 978-3-319-45243-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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