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Perceptual quality prediction on authentically distorted images using a bag of features approach

Current top-performing blind perceptual image quality prediction models are generally trained on legacy databases of human quality opinion scores on synthetically distorted images. Therefore, they learn image features that effectively predict human visual quality judgments of inauthentic and usually...

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Detalles Bibliográficos
Autores principales: Ghadiyaram, Deepti, Bovik, Alan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5283082/
https://www.ncbi.nlm.nih.gov/pubmed/28129417
http://dx.doi.org/10.1167/17.1.32