A new multiple description image coding scheme based on Compressive Sensing
This paper proposes a new two-description image coding technique based on Compressive Sensing(CS). In the new multiple description coding scheme, the source image is split into two sub-images with quincunx downsampling operation and further two descriptions are generated by CS measurement. The decoding is accomplished by solving a convex l1 optimization problem. The decoding at each side decoder is done by an interpolation process that exploits inter-description correlation. The new method still makes use of an attractive property of CS that the recovery effect only depends on the received measurement number but not on which measurements are received correctly. Experimental results demonstrate that the proposed image multiple description coding scheme has the advantage of high robustness to packet loss.