Multi-mode Kernel-Based Minimum Mean Square Error Estimator for Accelerated Image Error Concealment

摘要

In this paper, we propose a novel multi-mode error concealment algorithm that aims at obtaining high quality reconstructions with reduced computational burden. Block-based coding schemes in packet loss-environment are considered. The proposed technique exploits the excellent reconstructing abilities of the kernel-based minimum mean square error (K-MMSE) estimator [1]. The complexity of our technique is dynamically adapted to the visual complexity of the area being reconstructed. The technique outperforms other state of the art algorithms and produces high quality reconstructions, equivalent to K-MMSE, while requiring less than one fourth of its computational time.