Optimal input sizes for neural network de-interlacing

Hyunsoo Choi, Guiwon Seo, Chulhee Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publicationAlgorithms and Systems VII
DOIs
Publication statusPublished - 2009 Jun 15
EventImage Processing: Algorithms and Systems VII - San Jose, CA, United States
Duration: 2009 Jan 192009 Jan 22

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7245
ISSN (Print)0277-786X

Other

OtherImage Processing: Algorithms and Systems VII
CountryUnited States
CitySan Jose, CA
Period09/1/1909/1/22

Fingerprint

Deinterlacing
Neural Networks
Neural networks
format

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Choi, H., Seo, G., & Lee, C. (2009). Optimal input sizes for neural network de-interlacing. In Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems VII [72451A] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7245). https://doi.org/10.1117/12.810569
Choi, Hyunsoo ; Seo, Guiwon ; Lee, Chulhee. / Optimal input sizes for neural network de-interlacing. Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems VII. 2009. (Proceedings of SPIE - The International Society for Optical Engineering).
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Choi, H, Seo, G & Lee, C 2009, Optimal input sizes for neural network de-interlacing. in Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems VII., 72451A, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7245, Image Processing: Algorithms and Systems VII, San Jose, CA, United States, 09/1/19. https://doi.org/10.1117/12.810569

Optimal input sizes for neural network de-interlacing. / Choi, Hyunsoo; Seo, Guiwon; Lee, Chulhee.

Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems VII. 2009. 72451A (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7245).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Choi H, Seo G, Lee C. Optimal input sizes for neural network de-interlacing. In Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems VII. 2009. 72451A. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.810569