English

Distribution prediction for image compression: An experimental re-compressor for JPEG images

Computer Vision and Pattern Recognition 2023-10-17 v1

Abstract

We propose a new scheme to re-compress JPEG images in a lossless way. Using a JPEG image as an input the algorithm partially decodes the signal to obtain quantized DCT coefficients and then re-compress them in a more effective way.

Keywords

Cite

@article{arxiv.2310.10517,
  title  = {Distribution prediction for image compression: An experimental re-compressor for JPEG images},
  author = {Maxim Koroteev and Yaroslav Borisov and Pavel Frolov},
  journal= {arXiv preprint arXiv:2310.10517},
  year   = {2023}
}

Comments

6 pages, 5 figures, 2 tables

R2 v1 2026-06-28T12:52:13.622Z