Blind document image quality prediction based on modification of quality aware clustering method integrating a patch selection strategy
作者:
Highlights:
• A blind image quality assessment measure based on foreground information is proposed.
• The proposed measure is based on a Bag-of-Visual-Words and patch selection strategy.
• The proposed measure is particularly adapted for document images.
• The proposed measure is competitive with the state-of-the-art methods.
• The proposed method is suitable for expert systems embedded in mobile applications.
摘要
•A blind image quality assessment measure based on foreground information is proposed.•The proposed measure is based on a Bag-of-Visual-Words and patch selection strategy.•The proposed measure is particularly adapted for document images.•The proposed measure is competitive with the state-of-the-art methods.•The proposed method is suitable for expert systems embedded in mobile applications.
论文关键词:Document image,Blind image quality assessment,Bag-of-visual-words,Foreground separation,Patch extraction
论文评审过程:Received 7 July 2017, Revised 27 March 2018, Accepted 9 May 2018, Available online 9 May 2018, Version of Record 17 May 2018.
论文官网地址:https://doi.org/10.1016/j.eswa.2018.05.007