4 papers · 1 filter
Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation
Photios A. Stavrou, Giuseppe Serra, Marios Kountouris
Classical rate-distortion (RD) theory has long established the fundamental limits of lossy compression by quantifying the minimum number of bits required to represent a source unde…
Analyzing α-divergence in Gaussian Rate-Distortion-Perception Theory
Martha V. Sourla, Giuseppe Serra, Photios A. Stavrou +1
The problem of estimating the information rate distortion perception function (RDPF), which is a relevant information-theoretic quantity in goal-oriented lossy compression and sema…
Alternating Minimization Schemes for Computing Rate-Distortion-Perception Functions with -Divergence Perception Constraints
Giuseppe Serra, Photios A. Stavrou, Marios Kountouris
We study the computation of the rate-distortion-perception function (RDPF) for discrete memoryless sources subject to a single-letter average distortion constraint and a perception…
On the Rate-Distortion-Perception Function for Gaussian Processes
Giuseppe Serra, Photios A. Stavrou, Marios Kountouris
In this paper, we investigate the rate-distortion-perception function (RDPF) of a source modeled by a Gaussian Process (GP) on a measure space under mean squared error (MSE) d…