Cfa Interpolation

CFA Interpolation is a computational image processing technique that belongs to the class of demosaicking methods, specifically distinguished by its role in reconstructing a full-color image from incomplete color samples obtained through a Color Filter Array, typically by estimating missing color values at each pixel location based on spatial and chromatic correlations.

47

Publications

4.1K

Citations

117

Authors

56

Institutions

Publications per year

2017–2026

6

Authors

117

  1. KN
    Konstantinos N. Plataniotis

    University of Toronto, Canada

    4 publications · 154 citations

    4

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  2. YT
    Yap‐Peng Tan

    Nanyang Technological University, Singapore

    3 publications · 578 citations

    3

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  3. GJ
    Gwanggil Jeon

    Incheon National University, South Korea

    3 publications · 198 citations

    3

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  4. YH
    Yizhen Huang

    Dalian Polytechnic University, China

    2 publications · 27 citations

    2

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  5. OC
    Oscar C. Au

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 68 citations

    2

    h-index

1–5 of 117

Venues

  1. IEEE Transactions on Image Processing

    8 publications · 993 citations

    8

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  2. IEEE Transactions on Consumer Electronics

    5 publications · 448 citations

    5

    h-index

  3. 3

    h-index

  4. Sensors

    2 publications · 41 citations

    2

    h-index

  5. 2

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1–5