An Overview of Rate-Distortion-Perception Theory

📅 2026-09-14
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🤖 AI Summary
本文综述了率-失真-感知框架,从数学理论到实际应用的演变,探讨了Blau-Michaeli函数及其计算方法,为下一代感知压缩系统提供严谨基础。
📝 Abstract
This paper provides a comprehensive overview of the rate-distortion-perception framework, tracing its evolution from mathematical theory to practical deployment. We review the mathematical definition of the the mathematical definition of the Blau--Michaeli function and the associated coding theorems, examine computational methods for its evaluation, and discuss alternative formulations of the framework. Operational principles and design guidelines for modern image and video coding are also presented, highlighting the rate-distortion-perception framework as a rigorous foundation for developing next-generation perceptual compression systems.
Problem

Research questions and friction points this paper is trying to address.

rate-distortion-perception
Blau--Michaeli function
perceptual compression systems
Innovation

Methods, ideas, or system contributions that make the work stand out.

rate-distortion-perception framework
Blau-Michaeli function
coding theorems
perceptual compression systems
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