Robust face hallucination using ensemble of feature-based regression functions and classifiers

作者：

Highlights：

• Propose an example-based face hallucination framework.

• Proposed ensemble learning for face hallucination.

• Reconstruct both global and local facial features.

• Individual ambiguity of system low-resolution inputs is considered in this framework.

摘要

•Propose an example-based face hallucination framework.•Proposed ensemble learning for face hallucination.•Reconstruct both global and local facial features.•Individual ambiguity of system low-resolution inputs is considered in this framework.

论文关键词：Principal component analysis (PCA),Canonical correlation analysis (CCA),Eigenfaces,Facial hallucination

论文评审过程：Received 20 January 2015, Revised 18 July 2015, Accepted 12 October 2015, Available online 24 October 2015, Version of Record 12 November 2015.

论文官网地址：https://doi.org/10.1016/j.imavis.2015.10.001