Frame Rate Up-Conversion Using Key Point Agnostic Frequency-Selective Mesh-to-Grid Resampling Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.1109/icassp39728.2021.9413684
· OA: W3163319229
High frame rates are desired in many fields of application. As in many cases\nthe frame repetition rate of an already captured video has to be increased,\nframe rate up-conversion (FRUC) is of high interest. We conduct a motion\ncompensated approach. From two neighboring frames, the motion is estimated and\nthe neighboring pixels are shifted along the motion vector into the frame to be\nreconstructed. For displaying, these irregularly distributed mesh pixels have\nto be resampled onto regularly spaced grid positions. We use the model-based\nkey point agnostic frequency-selective mesh-to-grid resampling (AFSMR) for this\ntask and show that AFSMR works best for applications that contain irregular\nmeshes with varying densities. AFSMR gains up to 3.2 dB in contrast to the\nalready high performing frequency-selective mesh-to-grid resampling (FSMR).\nAdditionally, AFSMR increases the run time by a factor of 11 relative to FSMR.\n
