Psychophysically Tuned Divisive Normalization Approximately Factorizes the PDF of Natural Images

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Density Modeling of Images using a Generalized Normalization Transformation (2015, background): “Variants of divisive normalization have been found to reduce dependencies when applied to natural images or sounds and to produce approximately Gaussian responses (Ruderman, 1994; Schwartz & Simoncelli, 2001; Malo & Laparra, 2010).”
Perceptual image quality assessment using a normalized Laplacian pyramid (2016, background): “We also show that the resulting quality metric provides a better account of human perceptual judgements than either MS-SSIM or a recently-published gain-control metric based on oriented filters.”
Generative networks as inverse problems with Scattering transforms (2018, unknown): “The choice of ﬁlters is ﬂexible and other multiscale representations, such as the ones in Portilla & Simoncelli (2000); Lyu & Simoncelli (2009); Malo & Laparra (2010), may also be used.”
Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain (2012, background): “…to, or that can be incorporated into NSS models include: 1) visual sensitivity to structural information [1], [2]; 2) perceptual masking [19], [21], [22], [24]; 3) visual sensitivity to directional information [27], [28]; 4) multiscale spatial visual processing [4], [19], [24]; and 5) intolerance…”