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10 February 2009 Optimal input sizes for neural network de-interlacing
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Proceedings Volume 7245, Image Processing: Algorithms and Systems VII; 72451A (2009)
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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);


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