Face Enhancement

Face Enhancement is a computational method designed to improve the visual quality or perceptual attributes of facial images by selectively modifying facial features while preserving identity and structural integrity.

282

Publications

12.6K

Citations

858

Authors

303

Institutions

Publications per year

2017–2026

161

Authors

858

  1. RH
    Ruimin Hu

    Wuhan University, China

    6 publications · 158 citations

    6

    h-index

  2. SS
    Shyam Singh Rajput

    Atal Bihari Vajpayee Indian Institute of Information Technology and Management, India

    4 publications · 59 citations

    5

    h-index

  3. SS
    Shiguang Shan

    Institute of Computing Technology, China

    5 publications · 953 citations

    5

    h-index

  4. XC
    Xilin Chen

    Institute of Computing Technology, China

    4 publications · 938 citations

    4

    h-index

  5. ZH
    Zhen Han

    Wuhan University, China

    4 publications · 62 citations

    4

    h-index

1–5 of 858

Venues

  1. Pattern Recognition

    13 publications · 577 citations

    12

    h-index

  2. Multimedia Tools and Applications

    13 publications · 233 citations

    12

    h-index

  3. Neurocomputing

    12 publications · 373 citations

    11

    h-index

  4. arXiv (Cornell University)

    Repository · 10 publications · 387 citations

    10

    h-index

  5. 5

    h-index

1–5