Blind image quality assessment via probabilistic latent semantic analysis

We propose a blind image quality assessment that is highly unsupervised and training free. The new method is based on the hypothesis that the effect caused by distortion can be expressed by certain latent characteristics. Combined with probabilistic latent semantic analysis, the latent characteristi...

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Detalles Bibliográficos
Autores principales: Yang, Xichen, Sun, Quansen, Wang, Tianshu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5050185/
https://www.ncbi.nlm.nih.gov/pubmed/27777850
http://dx.doi.org/10.1186/s40064-016-3400-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5050185/
https://www.ncbi.nlm.nih.gov/pubmed/27777850
http://dx.doi.org/10.1186/s40064-016-3400-1

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