Cross-Domain Feature Similarity Guided Blind Image Quality Assessment

This work proposes an end-to-end cross-domain feature similarity guided deep neural network for perceptual quality assessment. Our proposed blind image quality assessment approach is based on the observation that features similarity across different domains (e.g., Semantic Recognition and Quality Pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Chenxi, Ye, Long, Zhang, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795631/
https://www.ncbi.nlm.nih.gov/pubmed/35095391
http://dx.doi.org/10.3389/fnins.2021.767977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795631/
https://www.ncbi.nlm.nih.gov/pubmed/35095391
http://dx.doi.org/10.3389/fnins.2021.767977

Ejemplares similares