IEEE Applied Imagery Pattern Recognition Workshop (AIPR),
pgs. 1-7,
2019
In this paper we examine and apply a linear-time matrix transformation for online interpolation of missing data blocks in frames of a streaming video sequence. We show that the resulting algorithm produces interpolated pixels that are sufficiently consistent within the context of a single frame that the missing block/tile is typically unnoticed by a viewer of the video sequence. Given the strenuous time constraints imposed by streaming video, this is essentially the only standard of performance that can be applied.