Optimal input sizes for neural network de-interlacing
Hyunsoo Choi, Guiwon Seo, Chulhee Lee · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
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.