ESIM: Edge Similarity for Screen Content Image Quality Assessment

@article{Ni2017ESIMES,
  title={ESIM: Edge Similarity for Screen Content Image Quality Assessment},
  author={Zhangkai Ni and Lin Ma and Huanqiang Zeng and Jing Chen and Canhui Cai and Kai-Kuang Ma},
  journal={IEEE Transactions on Image Processing},
  year={2017},
  volume={26},
  pages={4818-4831}
}
In this paper, an accurate full-reference image quality assessment (IQA) model developed for assessing screen content images (SCIs), called the edge similarity (ESIM), is proposed. It is inspired by the fact that the human visual system (HVS) is highly sensitive to edges that are often encountered in SCIs; therefore, essential edge features are extracted and exploited for conducting IQA for the SCIs. The key novelty of the proposed ESIM lies in the extraction and use of three salient edge… CONTINUE READING

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