A GMM-based stair quality model for human perceived JPEG images

@article{Hu2016AGS,
  title={A GMM-based stair quality model for human perceived JPEG images},
  author={Sudeng Hu and Haiqiang Wang and C.-C. Jay Kuo},
  journal={2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2016},
  pages={1070-1074}
}
Based on the notion of just noticeable differences (JND), a stair quality function (SQF) was recently proposed to model human perception on JPEG images. Furthermore, a k-means clustering algorithm was adopted to aggregate JND data collected from multiple subjects to generate a single SQF. In this work, we propose a new method to derive the SQF using the Gaussian Mixture Model (GMM). The newly derived SQF can be interpreted as a way to characterize the mean viewer experience. Furthermore, it has… CONTINUE READING
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