No Reference Quality Assessment for Screen Content Images With Both Local and Global Feature Representation

@article{Fang2018NoRQ,
  title={No Reference Quality Assessment for Screen Content Images With Both Local and Global Feature Representation},
  author={Yuming Fang and Jiebin Yan and Leida Li and Jinjian Wu and Weisi Lin},
  journal={IEEE Transactions on Image Processing},
  year={2018},
  volume={27},
  pages={1600-1610}
}
In this paper, we propose a novel no reference quality assessment method by incorporating statistical luminance and texture features (NRLT) for screen content images (SCIs) with both local and global feature representation. The proposed method is designed inspired by the perceptual property of the human visual system (HVS) that the HVS is sensitive to luminance change and texture information for image perception. In the proposed method, we first calculate the luminance map through the local… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 59 references

Similar Papers

Loading similar papers…