Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory. The distortion-rate function of output-constrained lossy source coding with limited common randomness is analyzed for the special case of squared error distortion measure.
Mar 21, 2024
Mar 21, 2024 · It has been long recognized in image compression that the perceptual quality of a compressed image is not completely aligned its distortion ...
The distortion-rate function of output-constrained lossy source coding with limited common randomness is analyzed and leads to a partial characterization of ...
The distortion-rate function of output-constrained lossy source coding with limited common randomness is analyzed for the special case of squared error ...
The distortion-rate function of output-constrained lossy source coding with limited common randomness is analyzed for the special case of squared error ...
This paper studies a Shannon-theoretic version of the generalized distribution preserving quantization problem where a stationary and memoryless source is ...
Jun 27, 2024 · In this paper, we present a low-complexity coding strategy to encode (compress) finite-length data blocks of Gaussian vector sources. We show ...
Abstract—This paper studies the rate-distortion-perception. (RDP) tradeoff for a memoryless source model in the asymptotic limit of large block-lengths.
Strong functional representation lemma and applications to coding theorems. ... Output constrained lossy source coding with limited common randomness. IEEE ...
In lossy image compression, the objective is to achieve minimal signal distortion while compressing images to a specified bit rate.