Signal and Loss Geometry Aware Frequency Selective Extrapolation for Error Concealment

The concealment of errors is an important task in image and video signal processing. Often, complex models are calculated to reconstruct the missing samples, which results in a long computation time. One method that achieves a very high reconstruction quality, but demands a moderate computational complexity only, is the block based Frequency Selective Extrapolation. Nevertheless, the reconstruction of a Full HD image can still take several minutes depending on the error pattern. To accelerate the computation, a novel algorithm is introduced in this paper that analyzes the adjacent, undistorted samples and optimizes the reconstruction parameters accordingly. Moreover, the analyzation is further used to adapt the partitioning of the blocks and the processing order. Similar to modern video codecs, e.g., High Efficiency Video Coding, a content based partitioning and processing is proposed as it takes the signal characteristics into account. Thus, the novel algorithm is on average four times faster than the state-of-the-art method and up to $25\times $ quicker at best, while achieving a slightly higher reconstruction quality as well.