AI 中文总结
本文综述率失真感知理论，涵盖其数学基础、计算方法及在图像视频编码中的应用，为下一代感知压缩系统提供理论支撑。
AI 中文摘要
本文全面概述了率失真感知框架，追溯了其从数学理论到实际部署的演变过程。我们回顾了Blau-Michaeli函数的数学定义及相关编码定理，探讨了其评估的计算方法，并讨论了该框架的替代表述。本文还介绍了现代图像和视频编码的操作原则与设计指南，强调了率失真感知框架作为开发下一代感知压缩系统的严谨基础。
英文摘要
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.
