Adaptive Distributed Source Coding for Multi-view Images

We show that distributed source coding of multi-view images using adaptive modules-operation can come close to the Slepian-Wolf bound. In the systematic scenario considered, two parent nodes (PN1 and PN2) on sides and child nodes (CNs) are located between PNs, which are statistically depended. A PN sends the whole image whereas a CN only partially, using an adaptive distributed source coding at a rate close to H(CN|PN1, PN2). The proposed scheme allows independent encoding and jointly decoding of views. Experimental results show performance close to the information-theoretic limit. Furthermore, good performance of the proposed architecture with adaptive scheme shows significant improvement over previous work.