Progressive Image Transmission over Noisy Channels : An End-to-End Statistical Optimization Framework

We present a statistical optimization framework for solvin g the end-to-end problem of multiple antenna transmission of progressive images over noisy chan nels. Such channels exhibit temporally correlated loss characterisitics and are associated with wire less communication links. In our study, we protect the progressive bitstream associated with an image source utilizing a family of rate compatible punctured RS codes along with receiver feedback. We conside r the impacts of transmission bit errors as well as packet erasures. To cope with the impact of random b it errors, we formulate an optimization problem aimed at minimizing the end-to-end expected distor t on of a reconstructed image subject to rate and efficiency constraints. In order to eliminate the impact of packet erasures, we propose utilizing an algorithm that is capable of statistically guaranteeing th e delivery of a number of packet sets associated with a progressive bitstream. Index Terms Progressive Transmission of Images, Multiple Antennas, Ra ndom Bit Error, Packet Erasure, Temporally Correlated Loss.