Image Artefact Quantification

Image Artefact Quantification is a methodological framework within image quality assessment that systematically measures and characterizes the presence, severity, and spatial distribution of structural deviations in digital images caused by acquisition, processing, or compression, distinguishing it from general quality metrics by its specific focus on identifying and quantifying localized anomalies rather than overall perceptual quality.

42

Publications

2.2K

Citations

155

Authors

79

Institutions

Publications per year

2017–2026

11

Authors

155

  1. HL
    Hantao Liu

    Cardiff University, United Kingdom

    2 publications · 183 citations

    2

    h-index

  2. CF
    Christian F. Beckmann

    Radboud University Nijmegen, Netherlands

    1 publications · 26 citations

    1

    h-index

  3. NP
    Narayan Pandit

    Tribhuvan University, Nepal

    1 publications · 18 citations

    1

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  4. CP
    Claudia Prieto

    King's College London, United Kingdom

    1 publications · 10 citations

    1

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  5. GM
    G.A. Mian

    University of Padua, Italy

    1 publications · 21 citations

    1

    h-index

1–5 of 155

Venues

  1. Physics in Medicine and Biology

    3 publications · 148 citations

    3

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  2. 3

    h-index

  3. 2

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  4. Signal Processing Image Communication

    2 publications · 82 citations

    2

    h-index

  5. Optics and Lasers in Engineering

    2 publications · 147 citations

    2

    h-index

1–5