Concepedia

Real-time Image Optimization

Real-Time Image Optimization is a computational framework within image processing that enables the instantaneous adjustment of image quality, resolution, and file size during capture, transmission, or display, distinguishing itself from offline methods by enforcing strict latency constraints to support time-sensitive applications.

3

Publications

62

Citations

13

Authors

4

Institutions

Publications per year

2017–2026

1

Parents

Publications

3

1–3 of 3

Authors

13

  1. LL
    Ligang Liu

    University of Science and Technology of China, China

    1 publications · 25 citations

    1

    h-index

  2. TH
    Tingting Han

    Soochow University, China

    1 publications · 27 citations

    1

    h-index

  3. DT
    David Tseng

    HRL Laboratories (United States), United States

    1 publications · 10 citations

    1

    h-index

  4. YJ
    Yong Jin

    Nanjing University of Science and Technology, China

    1 publications · 25 citations

    1

    h-index

  5. CZ
    Chuanqing Zhou

    Shanghai Jiao Tong University, China

    1 publications · 27 citations

    1

    h-index

1–5 of 13

Institutions

4

  1. HRL Laboratories (United States)

    Malibu, United States

    1 h-index

    1 publications

    10 citations

  2. Shanghai Jiao Tong University

    Shanghai, China

    1 h-index

    8 publications

    216 citations

  3. Zhejiang University

    Hangzhou, China

    1 h-index

    3 publications

    75 citations

  4. Shanghai Ocean University

    Shanghai, China

    1 h-index

    1 publications

    27 citations

1–4 of 4

Venues

  1. Applied Physics Letters

    1 publications · 10 citations

    1

    h-index

  2. Information Sciences

    1 publications · 27 citations

    1

    h-index

1–2