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Sparse Recovery-Based Error Concealment
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DOI：10.1109/TMM.2017.2662203.png)
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Abstract
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Image and video transmission over heterogeneous networks may encounter packet loss due to the channel impairments, leading to quality degradation of the received image. In this paper, a novel robust image transmission system is proposed by casting the error concealment challenge into a sparse recovery framework. To this purpose, a robust encoder is carefully designed in order to mitigate the negative effects of the packet loss. After wavelet decomposition, a quadtree structure of the wavelet coefficients is used to rearrange them into independent partitions. Random linear combinations of coefficients for each partition are then adopted to provide a high error recovery capability. This linear process coupled with a simple packetization process introduces more robustness and error resilience into the transmission system. At the receiver side, the tree-sparse structure of the wavelet coefficients is explicitly exploited in order to model the error recovery problem as a sparse recovery framework. This is achieved by adaptation of a wellknown iterative sparse reconstruction algorithm to the defined tree structure built in the wavelet domain. Compared with the state-of-the-art error concealment algorithms, experimental results show that the proposed method has better reconstruction performance in terms of objective and subjective evaluations over a range of packet loss rates, and ensure that a high-quality image can be recovered for the high packet loss scenarios.
Keywords:
Error concealment
sparse recovery
robust image transmission
packet loss
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