Post-processing Pipelines

Post-Processing Pipelines is a computational framework in computer graphics and image processing that sequentially applies a series of algorithmic stages to refine and enhance rendered images after the initial rasterization or rendering pass, distinguishing it from single-effect post-processing techniques by its structured, multi-stage composition.

306

Publications

24.2K

Citations

1.4K

Authors

561

Institutions

Publications per year

2017–2026

170

Authors

1.4K

  1. EF
    Eric Feczko

    Oregon Health & Science University, United States

    2 publications · 84 citations

    3

    h-index

  2. HC
    Hwann-Tzong Chen

    National Tsing Hua University, Taiwan

    3 publications · 224 citations

    3

    h-index

  3. DA
    Damien A. Fair

    Oregon Health & Science University, United States

    2 publications · 84 citations

    3

    h-index

  4. VU
    Vinay Uday Prabhu

    University College Dublin, Ireland

    3 publications · 69 citations

    3

    h-index

  5. DR
    David Reid

    Allen Institute, United States

    2 publications · 189 citations

    2

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 736 citations

    13

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 226 citations

    9

    h-index

  3. Bioinformatics

    7 publications · 170 citations

    7

    h-index

  4. Scientific Reports

    5 publications · 194 citations

    5

    h-index

  5. 4

    h-index

1–5