期刊
2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
卷 -, 期 -, 页码 1238-1242出版社
IEEE
关键词
Second Order Natural Scene Statistics; Blind Image Quality Assessment; Multimedia
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.
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