A shallow convolutional neural network for blind image sharpness assessment

Blind image quality assessment can be modeled as feature extraction followed by score prediction. It necessitates considerable expertise and efforts to handcraft features for optimal representation of perceptual image quality. This paper addresses blind image sharpness assessment by using a shallow...

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Detalles Bibliográficos
Autores principales: Yu, Shaode, Wu, Shibin, Wang, Lei, Jiang, Fan, Xie, Yaoqin, Li, Leida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436206/
https://www.ncbi.nlm.nih.gov/pubmed/28459832
http://dx.doi.org/10.1371/journal.pone.0176632

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436206/
https://www.ncbi.nlm.nih.gov/pubmed/28459832
http://dx.doi.org/10.1371/journal.pone.0176632

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