Raster Image Processing

Raster Image Processing is a computational process that converts vector-based or continuous-tone graphical data into a rasterized format composed of pixel arrays, distinguished by its role in determining spatial resolution, color depth, and output quality in digital print production workflows.

138

Publications

6K

Citations

320

Authors

141

Institutions

Publications per year

2017–2026

17

Authors

320

  1. JE
    John E. Warnock

    Palo Alto Research Center, United States

    4 publications · 155 citations

    4

    h-index

  2. NG
    Nader Gharachorloo

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 55 citations

    2

    h-index

  3. HF
    Henry Fuchs

    University of North Carolina at Chapel Hill, United States

    2 publications · 115 citations

    2

    h-index

  4. FC
    Franklin C. Crow

    The University of Texas at Austin, United States

    2 publications · 94 citations

    2

    h-index

  5. JS
    Jeff Schneider

    Carnegie Mellon University, United States

    2 publications · 699 citations

    2

    h-index

1–5 of 320

Venues

  1. ACM SIGGRAPH Computer Graphics

    7 publications · 179 citations

    7

    h-index

  2. Computer Graphics Forum

    5 publications · 139 citations

    5

    h-index

  3. Remote Sensing

    4 publications · 95 citations

    4

    h-index

  4. Computer Graphics and Image Processing

    4 publications · 183 citations

    4

    h-index

  5. 3

    h-index

1–5