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Journal of Electronic Imaging

Spatiotemporal video deinterlacing using control grid interpolation
Author(s): Ragav Venkatesan; Christine M. Zwart; David H. Frakes; Baoxin Li
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Paper 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.

Paper Details

Date Published: 30 March 2015
PDF: 10 pages
J. Electron. Imaging. 24(2) 023022 doi: 10.1117/1.JEI.24.2.023022
Published in: Journal of Electronic Imaging Volume 24, Issue 2
Show Author Affiliations
Ragav Venkatesan, Arizona State Univ. (United States)
Christine M. Zwart, Arizona State Univ. (United States)
David H. Frakes, Arizona State Univ. (United States)
Baoxin Li, Arizona State Univ. (United States)


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