Reconfigurable Image Processing Systems

Reconfigurable Image Processing Systems is a specialized class of embedded reconfigurable systems that integrates hardware and software components to enable dynamic adaptation of image processing pipelines, distinguishing itself through run-time programmability of processing architectures while maintaining domain-specific optimization for performance, power, and area constraints.

311

Publications

9K

Citations

923

Authors

318

Institutions

Publications per year

2017–2026

34

Authors

923

  1. ML
    Miriam Leeser

    Northeastern University, United States

    8 publications · 330 citations

    8

    h-index

  2. DG
    Donald G. Bailey

    Massey University, New Zealand

    8 publications · 316 citations

    8

    h-index

  3. KB
    K. Benkrid

    Queen's University Belfast, United Kingdom

    6 publications · 176 citations

    6

    h-index

  4. DC
    Danny Crookes

    Queen's University Belfast, United Kingdom

    5 publications · 150 citations

    5

    h-index

  5. PY
    Peter Y. K. Cheung

    Imperial College London, United Kingdom

    5 publications · 188 citations

    5

    h-index

1–5 of 923

Venues

  1. 10

    h-index

  2. Journal of Real-Time Image Processing

    8 publications · 119 citations

    8

    h-index

  3. Microprocessors and Microsystems

    MICPRO · 6 publications · 170 citations

    6

    h-index

  4. IEEE Transactions on Image Processing

    4 publications · 275 citations

    4

    h-index

  5. 4

    h-index

1–5