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


24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.2077-2080 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2016.7496180
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.2077-2080
  • Keywords: frame rate up-conversion, wavelet zerotree, symmetric optical flow
  • Anadolu University Affiliated: Yes


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.