Mobile Image Processing

Mobile Image Processing is a computational methodology that enables the acquisition, enhancement, analysis, and manipulation of visual data on portable devices, distinguished by its optimization for limited resources such as processing power, memory, and energy consumption inherent to mobile platforms.

512

Publications

20.6K

Citations

2K

Authors

584

Institutions

Publications per year

2017–2026

179

Authors

2K

  1. WM
    Wei‐Ying Ma

    Microsoft Research Asia (China), China

    5 publications · 328 citations

    5

    h-index

  2. BG
    Bernd Girod

    Stanford University, United States

    5 publications · 428 citations

    5

    h-index

  3. RG
    Radek Grzeszczuk

    Stanford University, United States

    5 publications · 464 citations

    5

    h-index

  4. XX
    Xing Xie

    Microsoft Research Asia (China), China

    5 publications · 328 citations

    5

    h-index

  5. KP
    Kari Pulli

    Nokia (United States), United States

    5 publications · 864 citations

    5

    h-index

1–5 of 2K

Venues

  1. 10

    h-index

  2. IEEE Transactions on Consumer Electronics

    8 publications · 151 citations

    8

    h-index

  3. arXiv (Cornell University)

    Repository · 8 publications · 485 citations

    8

    h-index

  4. 6

    h-index

  5. PLoS ONE

    4 publications · 127 citations

    4

    h-index

1–5