Perceptual Quantization

Perceptual Quantization is a quantization method that belongs to the class of image quantization techniques, distinguished by its incorporation of human visual system properties to prioritize perceptual fidelity over purely numerical accuracy in the representation of image data.

53

Publications

3.1K

Citations

115

Authors

59

Institutions

Publications per year

2017–2026

7

Authors

115

  1. EW
    Eric Walowit

    Purdue University West Lafayette, United States

    3 publications · 125 citations

    3

    h-index

  2. JP
    Jan P. Allebach

    Purdue University West Lafayette, United States

    3 publications · 125 citations

    3

    h-index

  3. RS
    Ronald S. Gentile

    Purdue University West Lafayette, United States

    3 publications · 125 citations

    3

    h-index

  4. LJ
    Lina J. Karam

    Arizona State University, United States

    3 publications · 297 citations

    3

    h-index

  5. IH
    I. Hontsch

    Arizona State University, United States

    3 publications · 297 citations

    3

    h-index

1–5 of 115

Venues

  1. 8

    h-index

  2. 3

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  3. Network Computation in Neural Systems

    2 publications · 290 citations

    2

    h-index

  4. IEEE Transactions on Image Processing

    2 publications · 266 citations

    2

    h-index

  5. Signal Processing Image Communication

    2 publications · 84 citations

    2

    h-index

1–5