Redundancy between spectral and higher-order texture statistics for natural image segmentation.

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

SUBMITTER: Herrera-Esposito D 

PROVIDER: S-EPMC8363589 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature