New hybrid error concealment for digital compressed video
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
Supplementary loss concealment technique for image transmission through data hiding
Multimedia Tools and Applications
Spatial error concealment using pixelwise fine directional interpolation
CSS '07 Proceedings of the Fifth IASTED International Conference on Circuits, Signals and Systems
Estimation of edge direction for block error concealment using hypothesis testing problem
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Optimization of spatial error concealment for H.264 featuring low complexity
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Performance analysis of error concealment algorithms for MPEG-2 video
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
A data hiding scheme to reconstruct missing blocks for JPEG image transmission
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Maximizing QoS for interactive DTV clients
Computer Communications
Exploiting multiple description coding for intermediate recovery in wireless mesh networks
Journal of Network and Computer Applications
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Transmission of still images and video over lossy packet networks presents a reconstruction problem at the decoder. Specifically, in the case of block-based transform coded images, loss of one or more packets due to network congestion or transmission errors can result in errant or entirely lost blocks in the decoded image. This article proposes a computationally efficient technique for reconstruction of lost transform coefficients at the decoder that takes advantage of the correlation between transformed blocks of the image. Lost coefficients are linearly interpolated from the same coefficients in adjacent blocks subject to a squared edge error criterion, and the resulting reconstructed coefficients minimize blocking artifacts in the image while providing visually pleasing reconstructions. The required computational expense at the decoder per reconstructed block is less than 1.2 times a non-recursive DCT, and as such this technique is useful for low power, low complexity applications that require good visual performance