Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure

@article{Gu2016BlindQA,
  title={Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure},
  author={Ke Gu and Shiqi Wang and Guangtao Zhai and Siwei Ma and Xiaokang Yang and Weisi Lin and Wenjun Zhang and Wen Gao},
  journal={IEEE Transactions on Multimedia},
  year={2016},
  volume={18},
  pages={432-443}
}
High dynamic range (HDR) imaging techniques have been working constantly, actively, and validly in the fault detection and disease diagnosis in the astronomical and medical fields, and currently they have also gained much more attention from digital image processing and computer vision communities. While HDR imaging devices are starting to have friendly prices, HDR display devices are still out of reach of typical consumers. Due to the limited availability of HDR display devices, in most cases… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 46 references

Learning without Human Scores for Blind Image Quality Assessment

2013 IEEE Conference on Computer Vision and Pattern Recognition • 2013
View 5 Excerpts
Highly Influenced

Objective Quality Assessment of Tone-Mapped Images

IEEE Transactions on Image Processing • 2013
View 10 Excerpts
Highly Influenced

Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality

IEEE Transactions on Image Processing • 2011
View 6 Excerpts
Highly Influenced

Final report from the video quality experts group on the validation of objective models of video quality assessment

VQEG
Mar. 2000. [Online]. Available: http://www.vqeg.org/. • 2000
View 5 Excerpts
Highly Influenced

Making a “Completely Blind” Image Quality Analyzer

IEEE Signal Processing Letters • 2013
View 4 Excerpts
Highly Influenced

No-Reference Image Quality Assessment in the Spatial Domain

IEEE Transactions on Image Processing • 2012
View 6 Excerpts
Highly Influenced

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