Abstract
This study introduces a frame-rate up-conversion method that uses a temporal wavelet zerotree-based shrinkage algorithm over motion trajectory of a video obtained by optical flow. The method starts by optical flow estimation for predicting initial estimates of inserted frame pixels. Then, the predicted frame pixels are denoised 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 have more fluent temporal flow as compared to optical flow - only interpolation.
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