Post-processing Optimization

Post-Processing Optimization is a computational technique in image optimization that refines already-generated images through algorithmic adjustments to enhance visual quality, fidelity, or compression efficiency without reprocessing the original rendering or encoding pipeline.

143

Publications

7.6K

Citations

638

Authors

289

Institutions

Publications per year

2017–2026

87

Authors

638

  1. WC
    Wing-Kai Chow

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 56 citations

    3

    h-index

  2. BY
    Bei Yu

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 56 citations

    3

    h-index

  3. HL
    Haocheng Li

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 56 citations

    3

    h-index

  4. GC
    Gengjie Chen

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 56 citations

    3

    h-index

  5. EF
    Evangeline F. Y. Young

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 56 citations

    3

    h-index

1–5 of 638

Venues

  1. Journal of Manufacturing Processes

    JMP · 3 publications · 156 citations

    3

    h-index

  2. Optics Express

    2 publications · 157 citations

    2

    h-index

  3. Electronics Letters

    2 publications · 31 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 31 citations

    2

    h-index

  5. Signal Processing Image Communication

    2 publications · 88 citations

    2

    h-index

1–5