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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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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