Multiscale structural similarity for image quality assessment

@article{Wang2003MultiscaleSS,
  title={Multiscale structural similarity for image quality assessment},
  author={Zhou Wang and Eero P. Simoncelli and A. Bovik},
  journal={The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003},
  year={2003},
  volume={2},
  pages={1398-1402 Vol.2}
}
The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality. This paper proposes a multiscale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions. We develop an image… Expand
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