Robust error concealment for visual communications in burst-packet-loss networks
IEEE Transactions on Consumer Electronics
Content-adaptive spatial error concealment for video communication
IEEE Transactions on Consumer Electronics
H.264 video communication based refined error concealment schemes
IEEE Transactions on Consumer Electronics
Content-based adaptive spatio-temporal methods for MPEG repair
IEEE Transactions on Image Processing
MPEG-2 error concealment based on block-matching principles
IEEE Transactions on Circuits and Systems for Video Technology
A cell-loss concealment technique for MPEG-2 coded video
IEEE Transactions on Circuits and Systems for Video Technology
Spatial and Temporal Error Concealment Techniques for Video Transmission Over Noisy Channels
IEEE Transactions on Circuits and Systems for Video Technology
Journal of Visual Communication and Image Representation
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Error concealment at a decoder is an efficient method to reduce the degradation of visual quality caused by channel errors. In this paper, we propose a novel spatio-temporal error concealment algorithm based on the spatial-temporal fading (STF) scheme which has been recently introduced. Although STF achieves good performance for the error concealment, several drawbacks including blurring still remain in the concealed blocks. To alleviate these drawbacks, in the proposed method, hybrid approaches with adaptive weights are proposed. First, the boundary matching algorithm and the decoder motion vector estimation which are well-known temporal error concealment methods are adaptively combined to compensate for the defect of each other. Then, an edge preserved method is utilized to reduce the blurring effects caused by the bilinear interpolation for spatial error concealment. Finally, two concealed results obtained by the hybrid spatial and temporal error concealment are pixel-wisely blended with adaptive weights. Experimental results exhibit that the proposed method outperforms conventional methods including STF in terms of the PSNR performance as well as subjective visual quality, and the computational complexity of the proposed method is similar to that of STF.