Second Order Natural Scene Statistics Model of Blind Image Quality Assessment

Zeina Sinno; Constantine Caramanis; Alan C. Bovik

ICASSP 2018accepted0 citations

Second Order Natural Scene Statistics Model of Blind Image Quality Assessment

Zeina Sinno, Constantine Caramanis, Alan C. Bovik

Abstract

The univariate statistics of bandpass-filtered images provide powerful features that drive many successful image quality assessment (IQA) algorithms. Bivariate Natural Scene Statistics (NSS), which model the joint statistics of multiple bandpass image samples also provide potentially powerful features to assess the perceptual quality of images, by capturing both image and distortion correlations. Here, we make the first attempt to use bivariate NSS features to build a model of no-reference image quality prediction. We show that our bivariate model outperforms existing state of the art image quality predictors.

BibTeX

@inproceedings{icassp2018_secondordernatur,
  title = {Second Order Natural Scene Statistics Model of Blind Image Quality Assessment},
  author = {Zeina Sinno and Constantine Caramanis and Alan C. Bovik},
  booktitle = {ICASSP 2018},
  year = {2018}
}