A Motion Adaptive Wavelet-Denoising for Frame-Rate Up-Conversion


GÖRGÜLÜ Ş., GEREK Ö. N.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.2077-2080 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2016.7496180
  • Basıldığı Şehir: Zonguldak
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.2077-2080
  • Anahtar Kelimeler: frame rate up-conversion, wavelet zerotree, symmetric optical flow
  • Anadolu Üniversitesi Adresli: Evet

Özet

This study introduces a method that employs a wavelet zerotree-based shrinkage algorithm motion-adaptively-combined with optical flow estimation for video frame rate up-conversion. In the method, an optical flow estimation technique is used to predict and insert frames between existing ones, and then, the predicted frames are denoised by using a specific wavelet-based algorithm, where each pixel location is examined independently through its own temporal motion path. The denoising was performed by shrinking zero-tree footprints to remove temporal oddities. The resulting video was observed to be smoother and more fluent as compared to optical flow - only interpolation.