{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Herrera-Esposito D"],"funding":["NEI NIH HHS","National Institutes of Health","UR CSIC"],"pagination":["55-65"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8363589"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["187"],"pubmed_abstract":["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 "],"journal":["Vision research"],"pubmed_title":["Redundancy between spectral and higher-order texture statistics for natural image segmentation."],"pmcid":["PMC8363589"],"funding_grant_id":["R01 EY031166"],"pubmed_authors":["Coen-Cagli R","Gomez-Sena L","Herrera-Esposito D"],"additional_accession":[]},"is_claimable":false,"name":"Redundancy between spectral and higher-order texture statistics for natural image segmentation.","description":"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 ","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Oct","modification":"2025-04-18T16:16:40.295Z","creation":"2025-04-07T03:19:24.975Z"},"accession":"S-EPMC8363589","cross_references":{"pubmed":["34217005"],"doi":["10.1016/j.visres.2021.06.007"]}}