Automatic blur type classification via ensemble SVM
作者：
Highlights：
• An ensemble SVM classifier is first applied to blur image classification.
• SVR is adopted to rank the significance of the extracted blur features.
• The haze blur images is considered for the first time in blur image classification.
摘要
•An ensemble SVM classifier is first applied to blur image classification.•SVR is adopted to rank the significance of the extracted blur features.•The haze blur images is considered for the first time in blur image classification.
论文关键词：Blur image classification,Support vector machine-recursive feature elimination (SVM-RFE),Support vector rate (SVR),Feature ranking,Feature selection,Ensemble SVM classifier
论文评审过程：Received 4 January 2018, Revised 6 August 2018, Accepted 8 August 2018, Available online 17 August 2018, Version of Record 16 November 2018.
论文官网地址：https://doi.org/10.1016/j.image.2018.08.003
