PubMed · 11817742
Visual pattern encoding with weighted hermite polynomials.
Abstract
The human visual system is spatially inhomogenous, and this property should be included in models of visual processing. We used weighted Hermite polynomials (WHPs) to encode and to characterize such inhomogenous processing. Simulations using an order-transfer-function (OTF) defined for each WHP order, at three spatial scales, provide elegant predictions of spatial frequency discrimination, of WHP order discrimination, and variations in two-point resolution and detection sensitivity with retinal eccentricity.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
J Yang, A Reeves. 2001. Visual pattern encoding with weighted hermite polynomials.. https://doi.org/10.1163/156856801753253609
Cite the original work for its findings. Save a collection to share your selection of sources.