Embedded Image Processing Acceleration

Embedded Image Processing Acceleration is a specialized computational framework within reconfigurable embedded systems that optimizes the execution of image processing tasks through hardware-software co-design to achieve real-time performance, energy efficiency, and adaptability in resource-constrained environments.

54

Publications

1.6K

Citations

166

Authors

75

Institutions

Publications per year

2017–2026

8

Authors

166

  1. JT
    Jürgen Teich

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    3 publications · 55 citations

    3

    h-index

  2. ML
    Marc Levoy

    Stanford University, United States

    2 publications · 278 citations

    2

    h-index

  3. SP
    Sylvain Paris

    Adobe Systems (United States), United States

    2 publications · 278 citations

    2

    h-index

  4. FD
    Frédo Durand

    Massachusetts Institute of Technology, United States

    2 publications · 278 citations

    2

    h-index

  5. BM
    Bart Mesman

    Eindhoven University of Technology, Netherlands

    2 publications · 34 citations

    2

    h-index

1–5 of 166

Venues

  1. Journal of Real-Time Image Processing

    8 publications · 139 citations

    8

    h-index

  2. Microprocessors and Microsystems

    MICPRO · 3 publications · 77 citations

    3

    h-index

  3. ACM Transactions on Graphics

    TOG · 2 publications · 278 citations

    2

    h-index

  4. EURASIP Journal on Embedded Systems

    2 publications · 29 citations

    2

    h-index

  5. 2

    h-index

1–5