The paper gives single-letter rate-distortion-perception limits for lossy compression with side information under strong realism constraints, including a complete Gaussian solution.
Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory
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abstract
The distortion-rate function of output-constrained lossy source coding with limited common randomness is analyzed for the special case of squared error distortion measure. An explicit expression is obtained when both source and reconstruction distributions are Gaussian. This further leads to a partial characterization of the information-theoretic limit of quadratic Gaussian rate-distortion-perception coding with the perception measure given by Kullback-Leibler divergence or squared quadratic Wasserstein distance.
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Rate-Distortion-Perception Trade-off with Strong Realism Constraints: Role of Side Information and Common Randomness
The paper gives single-letter rate-distortion-perception limits for lossy compression with side information under strong realism constraints, including a complete Gaussian solution.