Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space

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Abstract

We derive a single-letter characterization of the fundamental distortion-rate-perception tradeoff with limited common randomness under the squared error distortion measure and the squared Wasserstein-2 perception measure. This characterization is further shown to admit an explicit evaluation in the case of Gaussian sources. In addition, we clarify two different notions of universal representation. As a byproduct, soft-covering lemmas with respect to the Wasserstein-2 distance are established.

Original languageEnglish
Pages (from-to)8247-8261
Number of pages15
JournalIEEE Transactions on Information Theory
Volume71
Issue number11
DOIs
StatePublished - 2025

Keywords

  • Common randomness
  • Gaussian source
  • MMSE estimate
  • Wasserstein distance
  • lossy source coding
  • optimal transport
  • rate-distortion-perception theory
  • soft-covering lemma
  • squared error
  • universal representation
  • weak convergence

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