  In this work we propose a method for optimizing the lossy compression for a
network of diverse reconstruction systems. We focus on adapting a standard
image compression method to a set of candidate displays, presenting the
decompressed signals to viewers. Each display is modeled as a linear operator
applied after decompression, and its probability to serve a network user. We
formulate a complicated operational rate-distortion optimization trading-off
the network's expected mean-squared reconstruction error and the compression
bit-cost. Using the alternating direction method of multipliers (ADMM) we
develop an iterative procedure where the network structure is separated from
the compression method, enabling the reliance on standard compression
techniques. We present experimental results showing our method to be the best
approach for adjusting high bit-rate image compression (using the
state-of-the-art HEVC standard) to a set of displays modeled as blur
degradations.
