Image Stacking

Image Stacking is a data reduction technique that belongs to the class of aggregation methods, specifically distinguished by its process of combining multiple noisy or low-resolution images through alignment and averaging to produce a single high-quality image with improved signal-to-noise ratio.

22

Publications

762

Citations

123

Authors

51

Institutions

Publications per year

2017–2026

9

Authors

123

  1. JG
    Juan-Bernardo Gómez-Mendoza

    Universidad Nacional de Colombia, Colombia

    1 publications · 32 citations

    1

    h-index

  2. RH
    Ramya Hebbalaguppe

    Tata Consultancy Services (India), India

    1 publications · 12 citations

    1

    h-index

  3. SM
    Steven M. Drucker

    Microsoft (United States), United States

    1 publications · 18 citations

    1

    h-index

  4. SC
    Subhasis Chaudhuri

    Indian Institute of Technology Bombay, India

    1 publications · 57 citations

    1

    h-index

  5. SA
    S. Andreae

    Lawrence Berkeley National Laboratory, United States

    1 publications · 35 citations

    1

    h-index

1–5 of 123

Venues

  1. The Astronomical Journal

    AJ · 2 publications · 182 citations

    2

    h-index

  2. 2

    h-index

  3. The Astrophysical Journal Letters

    1 publications · 38 citations

    1

    h-index

  4. Applied Sciences

    1 publications · 32 citations

    1

    h-index

  5. 1

    h-index

1–5