generalized magnification in visual optics. part 1: magnification as linear transformation
Clicks: 300
ID: 156244
2010
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.
Reader Engagement
Popular Article
30.0
/100
300 views
49 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #16 of 124 articles by views in computers in human behavior
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 124 in total.
Mint this article as an NFT
Not yet mintedCreate 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
Abstract
In Gaussian optics magnification is a scalar; the interpretation is obvious. In linear optics, the simplest optics of astigmatic systems, the generalization is a 2 2× real matrix and, in general, is much
harder to interpret. This generalized magnification may imply magnification in the familiar sense that differs from one meridian to another, shear distortion, rotation, reflection, inversion, magnification in the familiar sense or combinations of these effects. The purpose of this paper is to illustrate generalized magnification and to provide a comprehensive interpretation. Because the treatment is abstract it
can be applied to blur and size magnification and to any magnification that can be represented by a 2 X 2 matrix. (S Afr Optom 2010 69(3) 109-122)
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (112 words).
Try re-searching for a better abstract.
| Reference Key |
harris2010africangeneralized
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;W. F. Harris |
| Journal | computers in human behavior |
| Year | 2010 |
| DOI |
10.4102/aveh.v69i3.134
|
| URL | |
| Keywords |
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.