Wavelet-based multiple description coding of images with iterative convex optimization techniques
We consider the problem of image transmission on error-prone networks with little or no error protection. To this end, we build a multiple description scheme based on classical biorthogonal filter banks, that achieves good reconstruction even at low bitrates. The novelty of the proposed approach mainly consists in building a 2D wavelet frame representation with low redundancy. Another contribution of this work is the use of a convex optimization approach at the decoder end in order to best take advantage of all the received information. The quantization constraints define convex sets, which allow us to apply fast iterative projection techniques to find a feasible solution of the decoding problem.