Reduced-reference Quality Assessment

Reduced-Reference Quality Assessment is a type of image quality assessment method that belongs to the broader class of reference-based approaches, distinguished by its use of partial reference information—rather than full or no reference data—to evaluate the perceptual quality of distorted images.

127

Publications

7.2K

Citations

264

Authors

141

Institutions

Publications per year

2017–2026

26

Variants

Rrqa

Authors

264

  1. GZ
    Guangtao Zhai

    Shanghai Jiao Tong University, China

    12 publications · 1.4K citations

    12

    h-index

  2. WL
    Weisi Lin

    Nanyang Technological University, Singapore

    11 publications · 944 citations

    11

    h-index

  3. KG
    Ke Gu

    Shanghai Jiao Tong University, China

    11 publications · 1.2K citations

    10

    h-index

  4. XY
    Xiaokang Yang

    Shanghai Jiao Tong University, China

    8 publications · 1.1K citations

    8

    h-index

  5. ZW
    Zhou Wang

    University of Waterloo, Canada

    7 publications · 1.1K citations

    7

    h-index

1–5 of 264

Venues

  1. Signal Processing Image Communication

    9 publications · 396 citations

    9

    h-index

  2. IEEE Transactions on Image Processing

    8 publications · 1.2K citations

    8

    h-index

  3. IEEE Transactions on Multimedia

    7 publications · 1.1K citations

    7

    h-index

  4. 6

    h-index

  5. IEEE Transactions on Broadcasting

    3 publications · 202 citations

    4

    h-index

1–5