Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Speckle statistics of doubly scattered light

Not Accessible

Your library or personal account may give you access

Abstract

The statistical properties of light that has been scattered twice are studied in theory. If each scattering by itself gives rise to Gaussian speckle, it is found that the probability densities of the doubly scattered light amplitude and intensity are approximately K distributions, which imply stronger fluctuations than Gaussian light. The spatial-correlation properties of the doubly scattered light are also examined. The intensity correlations contain non-Gaussian terms, and, although the correlations are spatially stationary, they indicate that the doubly scattered light is not an ergodic process.

© 1982 Optical Society of America

Full Article  |  PDF Article
More Like This
Statistical properties of doubly scattered image speckle

Takeaki Yoshimura and Kazuo Fujiwara
J. Opt. Soc. Am. A 9(1) 91-95 (1992)

K speckle: space–time correlation function of doubly scattered light in an imaging system

Dayan Li, Damien P. Kelly, and John T. Sheridan
J. Opt. Soc. Am. A 30(5) 969-978 (2013)

K distributions from doubly scattered light

D. Newman
J. Opt. Soc. Am. A 2(1) 22-26 (1985)

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 (3)

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 (34)

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
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.