Rate-Distortion-Perception Tradeoff of Variable-Length Source Coding for General Information Sources
By Ryutaroh Matsumoto. 2018
31 citations recorded by the source corpus.
Blau and Michaeli recently introduced a novel concept for inverse problems of signal processing, that is, the perception-distortion tradeoff. We introduce their tradeoff into the rate distortion theory of variable-length lossy source coding in information theory, and clarify the tradeoff among information rate, distortion and perception for general information sources. We also discuss the fixed-length coding with average distortion criterion that was missing in the previous letter.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Tomer Michaeli
- Yochai Blau
- Roey Mechrez
- Zhihao Wang
- Kai Zhang
- Tamar Rott Shaham
- Radu Timofte
- Chongyi Li
Citations in the corpus
- The Perception-Distortion Tradeoff (2017, background): “Theoretically, its effect can be studied through the rate-distortion-perception function [55], [56], [57], which is an extension of the ratedistortion function (16) and the perception-distortion function (11), characterizing the triple tradeoff between rate, distortion, and perceptual quality.”
- Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff (2019, background): “A preliminary attempt to incorporate perceptual quality into rate-distortion theory was briefly reported in (Matsumoto, 2018a;b).”