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.
Wavelet-based multiple description coding of images with iterative convex optimization techniques
IEEE International Conference on Image Processing 2005 ; 3 ; III-924
2005-01-01
227172 byte
Conference paper
Electronic Resource
English
Wavelet-Based Multiple Description Coding of Images with Iterative Convex OptimizationTechniques
British Library Conference Proceedings | 2005
|Frame Based Multiple Description Image Coding in the Wavelet Domain
British Library Conference Proceedings | 2005
|Unbalanced multiple description wavelet coding for scalable video transmission
British Library Online Contents | 2012
|Adaptive Wavelet Coding of Images
British Library Conference Proceedings | 1994
|