CSPP-IQA: a multi-scale spatial pyramid pooling-based approach for blind image quality assessment

The traditional image quality assessment (IQA) methods are usually based on convolutional neural networks (CNNs). For these IQA methods using CNNs, limited by the feature size of the fully connected layer, the input image needs be tailored to a pre-defined size, which usually results in destroying t...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Jingjing, Qin, Feng, Lu, Fangfang, Guo, Lingling, Li, Chao, Yan, Ke, Zhou, Xiaokang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
S.I.: Efficient Artificial Intelligent Algorithms for Medical Image Analysis Based on High-Performance Computing
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573815/
https://www.ncbi.nlm.nih.gov/pubmed/36276656
http://dx.doi.org/10.1007/s00521-022-07874-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573815/
https://www.ncbi.nlm.nih.gov/pubmed/36276656
http://dx.doi.org/10.1007/s00521-022-07874-2

Ejemplares similares