Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Journal Home About Issues in Progress Current Issue All Issues Early Posting Feature Issues

Limiting Resolution and Signal-to-Noise Ratio Analysis of the Dielectric Tape Camera

Philip Parzen

Not Accessible

Your library or personal account may give you access

Abstract

The dependence of the resolution and signal-to-noise ratio on scanning rates and redistribution effects is worked out. The effects of nonlinear imaging are also described.

© 1968 Optical Society of America

Full Article  |  PDF Article
More Like This
The Signal/Noise Ratio Concept in Underwater Optics

H. Hodara and R. J. Marquedant
Appl. Opt. 7(3) 527-534 (1968)

Signal-to-Noise Ratios for Hologram Images of Subjects in Strong Incoherent Light

J. Hamasaki
Appl. Opt. 7(8) 1613-1620 (1968)

Elimination of Speckle Noise in Holograms with Redundancy

H. J. Gerritsen, W. J. Hannan, and E. G. Ramberg
Appl. Opt. 7(11) 2301-2311 (1968)

View More...

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (7)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (120)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use