• Corpus ID: 207870151

Domain-Aware No-Reference Image Quality Assessment

@article{Xia2019DomainAwareNI,
  title={Domain-Aware No-Reference Image Quality Assessment},
  author={Weihao Xia and Yujiu Yang and Jing-Hao Xue and Jing Xiao},
  journal={ArXiv},
  year={2019},
  volume={abs/1911.00673}
}
No-reference image quality assessment (NR-IQA) is a fundamental yet challenging task in low-level computer vision. It is to predict the perceptual quality of an image with unknown distortion. Its difficulty is particularly pronounced as the corresponding reference for assessment is typically absent. Various mechanisms to extract features ranging from natural scene statistics to deep features have been leveraged to boost the NR-IQA performance. However, these methods treat images of different… 

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References

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