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Regularization-Based Error Concealment in JPEG 2000 Coding Scheme Export

IEEE Signal Processing Letters In Signal Processing Letters, IEEE, Vol. 14, No. 12. (December 2007), pp. 956-959.

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2000 bit-error coding coefficients compression concealment constraint corrupted engines error image jpeg minimization numerical parameter reconstruction recovery regularization regularization-based scheme smoothness statistics tuning

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This letter offers a solution to bit-error recovery for high-frequency subbands at high decomposition levels of JPEG 2000 bitstreams, with a novel perspective. Being inspired by the regularization approach, corrupted coefficients are estimated by imposing a smoothness constraint on the gradient of the reconstructed data. The approach can be generalized to other compression engines as well. Experimental results show that the proposed method achieves the best reported results so far, with up to 6 dB of PSNR improvement. The method does not require any parameter tuning, however, it does require numerical minimization.


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