KonIQ++: boosting no-reference image quality assessment in the wild by jointly predicting image quality and defects

Shaolin Su, Vlad Hosu, Hanhe Lin, Yanning Zhang, Dietmar Saupe

Computing

Research output: Non-textual form › Software

Original language	English
Publisher	GitHub
Publication status	Published - 2021

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Link to Code on GitHub

1 Paper

KonIQ++: Boosting no-reference image quality assessment in the wild by jointly predicting image quality and defects
Su, S., Hosu, V., Lin, H., Zhang, Y. & Saupe, D., 2021, p. 1-12. 12 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
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