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Proceedings Paper

Optimal input sizes for neural network de-interlacing
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Paper Abstract

Neural network de-interlacing has shown promising results among various de-interlacing methods. In this paper, we investigate the effects of input size for neural networks for various video formats when the neural networks are used for de-interlacing. In particular, we investigate optimal input sizes for CIF, VGA and HD video formats.

Paper Details

Date Published: 10 February 2009
PDF: 8 pages
Proc. SPIE 7245, Image Processing: Algorithms and Systems VII, 72451A (10 February 2009); doi: 10.1117/12.810569
Show Author Affiliations
Hyunsoo Choi, Yonsei Univ. (Korea, Republic of)
Guiwon Seo, Yonsei Univ. (Korea, Republic of)
Chulhee Lee, Yonsei Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 7245:
Image Processing: Algorithms and Systems VII
Nasser M. Nasrabadi; Jaakko T. Astola; Karen O. Egiazarian; Syed A. Rizvi, Editor(s)

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