Distributed coding of multispectral images: a set theoretic approach

Distributed coding problem poses the challenge of how to shift the exploitation of the correlation structure of source from encoder to decoder with minimal degradation on coding efficiency. In this paper, we propose a novel convex-set theoretic framework for distributed coding of multispectral images. Alternating projection based decoding algorithms are developed to exploit the correlation among different spectral channels at the centralized decoder. Both asymmetric and symmetric protocols are studied and compared. Experiment results have shown that the proposed symmetric distributed coder only falls behind standard wavelet coders (e.g., JPEG2000) by less than 2 dB at the bit rate of 1-2 bpp.