Optimal input sizes for neural network de-interlacing

Hyunsoo Choi; Guiwon Seo; Chulhee Lee

doi:10.1117/12.810569

10 February 2009 Optimal input sizes for neural network de-interlacing

Hyunsoo Choi, Guiwon Seo, Chulhee Lee

Proceedings Volume 7245, Image Processing: Algorithms and Systems VII; 72451A (2009) https://doi.org/10.1117/12.810569
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

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.

Citation Download Citation

Hyunsoo Choi, Guiwon Seo, and Chulhee Lee "Optimal input sizes for neural network de-interlacing", Proc. SPIE 7245, Image Processing: Algorithms and Systems VII, 72451A (10 February 2009); https://doi.org/10.1117/12.810569

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