Deinterlacing using second order polynomial estimation

Guiwon Seo, Chulhee Lee

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

Abstract

Deinterlacing has been an essential technology for modern video broadcasting services. A number of deinterlacing algorithms have been proposed such as intra or inter-field deinterlacing algorithms. Furthermore, deinterlacing algorithms that use neural networks also have shown promising performance. As broadcasting services with high resolution such as HD and UHD are becoming widely available, processing time and hardware complexity issues have become important. In this paper, we propose second order polynomial methods which can be substituted for neural network algorithms. We also applied the polynomial algorithm to deinterlacing problems. Experimental results showed that deinterlacing using second order polynomials was more efficient than using neural network algorithms in terms of PSNR and processing time.

Original languageEnglish
Title of host publicationIEEE TENCON 2012
Subtitle of host publicationSustainable Development Through Humanitarian Technology
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE Region 10 Conference: Sustainable Development Through Humanitarian Technology, TENCON 2012 - Cebu, Philippines
Duration: 2012 Nov 192012 Nov 22

Other

Other2012 IEEE Region 10 Conference: Sustainable Development Through Humanitarian Technology, TENCON 2012
CountryPhilippines
CityCebu
Period12/11/1912/11/22

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications

Cite this

Seo, G., & Lee, C. (2012). Deinterlacing using second order polynomial estimation. In IEEE TENCON 2012: Sustainable Development Through Humanitarian Technology [6412319] https://doi.org/10.1109/TENCON.2012.6412319