No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network
In this paper, a competitive no-reference metric is proposed to assess the perceptive quality of screen content images (SCIs), which uses the human visual edge model and AdaBoosting neural network. Inspired by the existing theory that the edge information which reflects the visual quality of SCI is...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 26., Seite 6801-6814
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| Auteur principal: |
Yang, Jiachen
(Auteur) |
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| Autres auteurs: |
Bian, Zilin,
Liu, Jiacheng,
Jiang, Bin,
Lu, Wen,
Gao, Xinbo,
Song, Houbing |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2021
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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