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We consider the error concealment problem as a problem of signal recovery from incomplete measurements, which is well-known in image super-resolution and in compressive sensing. We assume that the video sequence has a sparse representation in a known basis different from the DWT, e.g., in a 2-D discrete cosine transform basis. Then we formulate the concealment problem as l1-norm minimization and solve it utilizing an iterative thresholding algorithm. The proposed algorithm has the following advantages: 1. Experimental results show that the proposed error concealment provides up to 6 dB improvement in Peak Signal-to-Noise Ratio in comparison with existing recovery methods based on subbands interpolation. 2. It provides coding performance improvement in a case of no packet loss, since the algorithm recovers all coefficients which are quantized to zero at the encoder side. For more detailed information pleasee visit or read the following article: [1] , S.Førchhammer, , Error concealment for 3-D DWT based video codec using iterative thresholding, IEEE Communications Letters, , Iss.8, pp. 1731-1734, 2017.
