Contrast Enhancement

Contrast Enhancement is a digital image processing technique within diagnostic imaging systems that selectively intensifies the luminance or intensity differences between adjacent regions in an image to improve visual interpretability and feature distinguishability, distinguishing itself from other preprocessing methods by specifically targeting the dynamic range of pixel intensities to optimize perceptual or analytical clarity.

7.1K

Publications

416.7K

Citations

28.5K

Authors

4.9K

Institutions

Publications per year

2017–2026

1.7K

Authors

28.5K

  1. AK
    Ashish Kumar Bhandari

    National Institute of Technology Patna, India

    25 publications · 1K citations

    21

    h-index

  2. SС
    Sos С. Agaian

    The University of Texas at San Antonio, United States

    24 publications · 2K citations

    17

    h-index

  3. ZL
    Zheng‐Rong Lu

    Case Western Reserve University, United States

    18 publications · 919 citations

    17

    h-index

  4. RW
    Rolf W. Günther

    RWTH Aachen University, Germany

    18 publications · 728 citations

    16

    h-index

  5. MF
    Maximilian F. Reiser

    Ludwig-Maximilians-Universität München, Germany

    19 publications · 1.3K citations

    16

    h-index

1–5 of 28.5K

Venues

  1. Radiology

    432 publications · 44.3K citations

    119

    h-index

  2. American Journal of Roentgenology

    AJR · 228 publications · 15.9K citations

    75

    h-index

  3. PubMed

    Repository · 384 publications · 19.3K citations

    75

    h-index

  4. Journal of Magnetic Resonance Imaging

    JMRI · 135 publications · 8.4K citations

    52

    h-index

  5. Journal of Computer Assisted Tomography

    JCAT · 189 publications · 8.3K citations

    52

    h-index

1–5