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20 December 2013 Spatiotemporal deinterlacing using a maximum a posteriori estimator based on multiple-field registration
Ho-Taek Lee, Dong-bok Lee, Byungju Lee, Byung Cheol Song
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Journal of Electronic Imaging, Vol. 22, Issue 4, 043038 (December 2013). https://doi.org/10.1117/1.JEI.22.4.043038
Abstract
This paper proposes an accurate deinterlacing algorithm using a maximum a posteriori (MAP) estimator. First, we produce accurate motion vector fields between the current field and adjacent fields by employing an advanced motion compensation scheme that is suitable for an interlaced format. Next, the progressive frame corresponding to the current field is found via the MAP estimator based on the derived motion vector fields. Here, in order to obtain a stable solution, well-known bilateral total variation–based regularization is applied. Then, at a specific mode decision step, it is decided whether the result from the aforementioned temporal deinterlacing is acceptable or not. Finally, if the temporal deinterlacing is determined to be inappropriate by the mode decision, a typical spatial deinterlacing is applied instead of the MAP estimator-based temporal deinterlacing. Experimental results show that the proposed algorithm provides at maximum 2 dB higher PSNR than a cutting-edge deinterlacing algorithm, while providing better visual quality than the latter.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Ho-Taek Lee, Dong-bok Lee, Byungju Lee, and Byung Cheol Song "Spatiotemporal deinterlacing using a maximum a posteriori estimator based on multiple-field registration," Journal of Electronic Imaging 22(4), 043038 (20 December 2013). https://doi.org/10.1117/1.JEI.22.4.043038
Published: 20 December 2013
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KEYWORDS
Visualization
Motion estimation
Fluctuations and noise
Statistical analysis
Error analysis
Super resolution
Algorithm development
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