Visual encoding: Principles and software.

Computer graphics Cone fundamentals Cone mosaic Display Irradiance Lens Optics Photoreceptor Pigment density Point spread function Radiance Retina ipRGC

Journal

Progress in brain research
ISSN: 1875-7855
Titre abrégé: Prog Brain Res
Pays: Netherlands
ID NLM: 0376441

Informations de publication

Date de publication:
2022
Historique:
entrez: 8 8 2022
pubmed: 9 8 2022
medline: 11 8 2022
Statut: ppublish

Résumé

For more than two centuries scientists and engineers have worked to understand and model how the eye encodes electromagnetic radiation (light). We now understand the principles of how light is transmitted through the optics of the eye and encoded by retinal photoreceptors and light-sensitive neurons. In recent years, new instrumentation has enabled scientists to measure the specific parameters of the optics and photoreceptor encoding. We implemented the principles and parameter estimates that characterize the human eye in an open-source software toolbox. This chapter describes the principles behind these tools and illustrates how to use them to compute the initial visual encoding.

Identifiants

pubmed: 35940717
pii: S0079-6123(22)00133-9
doi: 10.1016/bs.pbr.2022.04.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

199-229

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Brian A Wandell (BA)

Psychology Department and the Stanford Center for Image Systems Engineering, Stanford University, Stanford, CA, United States. Electronic address: wandell@stanford.edu.

David H Brainard (DH)

Department of Psychology, University of Pennsylvania, Philadelphia, PA, United States.

Nicolas P Cottaris (NP)

Department of Psychology, University of Pennsylvania, Philadelphia, PA, United States.

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Classifications MeSH