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Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory

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arxiv 2403.14849 v1 pith:ICIPWHN3 submitted 2024-03-21 cs.IT cs.LGmath.IT

Li Xie , Liangyan Li , Jun Chen , Zhongshan Zhang This is my paper · ORCID
classification cs.ITcs.LGmath.IT
keywords codingsourcegaussianlossymeasureoutput-constrainedquadraticrate-distortion-perception
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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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Cited by 1 Pith paper

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  1. Rate-Distortion-Perception Trade-off with Strong Realism Constraints: Role of Side Information and Common Randomness

    cs.IT 2025-07 accept novelty 7.0 of 10

    The paper gives single-letter rate-distortion-perception limits for lossy compression with side information under strong realism constraints, including a complete Gaussian solution.

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