Abstract

With the advent of progressive format display and broadcast technologies, video deinterlacing has become an important video-processing technique. Numerous approaches exist in the literature to accomplish deinterlacing. While most earlier methods were simple linear filtering-based approaches, the emergence of faster computing technologies and even dedicated video-processing hardware in display units has allowed higher quality but also more computationally intense deinterlacing algorithms to become practical. Most modern approaches analyze motion and content in video to select different deinterlacing methods for various spatiotemporal regions. We introduce a family of deinterlacers that employs spectral residue to choose between and weight control grid interpolation based spatial and temporal deinterlacing methods. The proposed approaches perform better than the prior state-of-the-art based on peak signal-to-noise ratio, other visual quality metrics, and simple perception-based subjective evaluations conducted by human viewers. We further study the advantages of using soft and hard decision thresholds on the visual performance.

Original languageEnglish (US)
Article number023022
JournalJournal of Electronic Imaging
Volume24
Issue number2
DOIs
StatePublished - Mar 1 2015

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interpolation
Interpolation
Display devices
grids
Weight control
Processing
format
Signal to noise ratio
hardware
signal to noise ratios
Hardware
thresholds
evaluation

Keywords

  • control grid interpolation
  • deinterlacing
  • saliency
  • spectral residue

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Atomic and Molecular Physics, and Optics

Cite this

Spatiotemporal video deinterlacing using control grid interpolation. / Venkatesan, Ragav; Zwart, Christine M.; Frakes, David; Li, Baoxin.

In: Journal of Electronic Imaging, Vol. 24, No. 2, 023022, 01.03.2015.

Research output: Contribution to journalArticle

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