Divisive normalization has been recognized as a successful approach to model the perceptual sensitivity of biological vision. It also provides a useful image representation that is well-matched to the statistical properties of natural images. Here we propose a reducedreference image quality assessment method in the divisive normalization transform domain, where the quality of an image is evaluated based on a set of reduced-reference features extracted from a divisive normalization

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... of the image. The proposed method is general-purpose, in the sense that no assumption is made about the types of distortions occurred in the image being evaluated. The proposed method is trained and tested using the LIVE database and demonstrates good performance for a wide range of distortions. Index Terms-image quality assessment, perceptual image representation, statistical image modeling, divisive normalization