Wyner-Ziv Quantization and Transform Coding of Noisy Sources at High Rates

Abstract — We extend Wyner-Ziv high-rate quantization and transform coding theory to the case in which a noisy observation of some source data is available at the encoder, but we are interested in estimating the unseen source data at the decoder, with the help of side information. Ideal Slepian-Wolf coders are assumed, thus rates are conditional entropies of quantization indices given the side information. Transform coders of noisy images for different communication constraints are compared. Experimental results show that the Wyner-Ziv transform coder achieves a performance close to the case in which the side information is also available at the encoder. I