Layer and framework theories of lightness.

Clicks: 365
ID: 79911
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #3 of 31 articles by views in attention, perception & psychophysics

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Lightness (the perceived dimension running from black to white) represents a problem for vision science because the light coming to the eye from an object totally fails to specify the shade of gray of the object, due to the confounding of surface gray and illumination intensity. The two leading approaches, decomposition theories and anchoring theories, split the retinal image into overlapping layers and adjacent frameworks, respectively. Because each approach has important strengths and some weaknesses, an integration of them would mark an important step forward for the lightness theory. But the problem remains how this integration can actually be realized.
Reference Key
soranzo2019layerattention Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Soranzo, Alessandro;Gilchrist, Alan;
Journal attention, perception & psychophysics
Year 2019
DOI
10.3758/s13414-019-01736-1
URL
Keywords
transparency decomposition scaling articulation anchoring frameworks gamut compression layers lightness

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.