A rate-distortion-perception (RDP) tradeoff has recently been proposed by Blau and Michaeli and also Matsumoto. Focusing on the case of perfect realism, which coincides with the problem of distribution-preserving lossy compression studied by Li et al., a coding theorem for the RDP tradeoff that allows for a specified amount of common randomness between the encoder and decoder is provided. The existing RDP tradeoff is recovered by allowing for the amount of common randomness to be infinite. The quadratic Gaussian case is examined in detail.
翻译:Blau和Michaeli以及Matsumoto最近提出了率扭曲感(RDP)权衡方案,重点处理完全现实主义的情况,这与Li等人研究的分布-保存损耗压缩问题相吻合,为RDP交易提供了一种编码理论,允许编码器和解码器之间有一定数量的常见随机性。现有的RDP权衡方案通过允许无穷无穷无尽的普通随机性来收回。