Abstract

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.

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