# Distortion-Controlled Dithering with Reduced Recompression Rate

arXiv: https://arxiv.org/abs/2402.16447 · HTML: https://mlsanity.com/paper/2402.16447/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 20 references that are in the map.
- First posted on arXiv 26 Feb 2024.

## Builds on (most cited first, 1 of 1)

- [Understanding SSIM](https://mlsanity.com/paper/2006.13846/) (2020)

## Built on by (most cited first, 1 of 1)

- [Design and Implementation of Parametrized Look-Up Tables for Post-Correction of Oversampling Low-Resolution ADCs](https://mlsanity.com/paper/2507.18673/) (2025)

## Abstract (arXiv)

Dithering is a technique that can improve human perception of low-resolution data by reducing quantization artifacts. In this work we formalize and analytically justify two metrics for quantization artifact prominence, using them to design a novel dithering method for distortion-controlled data compression. We present theoretical entropy calculations for this dither and experimentally validate its performance on a low-rate image compression task. The result is a drastic improvement in the perceptual quality of quantized images with a lower recompression entropy than any state-of-the-art dither technique, achieving 45 points lower PIQUE at the same rate or 40% lower rate at the same PIQUE. The proposed dither is an adaptable tool applicable for use in any lossy compression system, permitting precise control of rate-distortion characteristics for both compression and recompression.