biostudies-literatureHerrera-Esposito DNEI NIH HHSNational Institutes of HealthUR CSIC55-65https://www.ebi.ac.uk/biostudies/studies/S-EPMC8363589biostudies-literatureUnknown187Visual texture, defined by local image statistics, provides important information to the human visual system for perceptual segmentation. Second-order or spectral statistics (equivalent to the Fourier power spectrum) are a well-studied segmentation cue. However, the role of higher-order statistics (HOS) in segmentation remains unclear, particularly for natural images. Recent experiments indicate that, in peripheral vision, the HOS of the widely adopted Portilla-Simoncelli texture model are a weak segmentation cue compared to spectral statistics, despite the fact that both are necessary to explain other perceptual phenomena and to support high-quality texture synthesis. Here we test whether this discrepancy reflects a property of natural image statistics. First, we observe that differences Vision researchRedundancy between spectral and higher-order texture statistics for natural image segmentation.PMC8363589R01 EY031166Coen-Cagli RGomez-Sena LHerrera-Esposito DfalseRedundancy between spectral and higher-order texture statistics for natural image segmentation.Visual texture, defined by local image statistics, provides important information to the human visual system for perceptual segmentation. Second-order or spectral statistics (equivalent to the Fourier power spectrum) are a well-studied segmentation cue. However, the role of higher-order statistics (HOS) in segmentation remains unclear, particularly for natural images. Recent experiments indicate that, in peripheral vision, the HOS of the widely adopted Portilla-Simoncelli texture model are a weak segmentation cue compared to spectral statistics, despite the fact that both are necessary to explain other perceptual phenomena and to support high-quality texture synthesis. Here we test whether this discrepancy reflects a property of natural image statistics. First, we observe that differences 2021-01-01T00:00:00Z2021 Oct2025-04-18T16:16:40.295Z2025-04-07T03:19:24.975ZS-EPMC83635893421700510.1016/j.visres.2021.06.007