Gradient-based estimators for one- and two-dimensional speckle motion

Donald D. Duncan; Sean J. Kirkpatrick

doi:10.1117/12.590441

15 April 2005 Gradient-based estimators for one- and two-dimensional speckle motion

Proceedings Volume 5695, Optical Interactions with Tissue and Cells XVI; (2005) https://doi.org/10.1117/12.590441
Event: SPIE BiOS, 2005, San Jose, CA, United States

Abstract

Demonstrated herein is the performance of gradient-based estimators for assessing small motions in speckle patterns. Such estimators are important in a variety of speckle techniques used in non-destructive evaluation. These speckle patterns can be two-dimensional (one spatial dimension and one temporal dimension) as obtained in objective speckle techniques or three-dimensional (two spatial dimensions and one temporal dimension) as typically seen in subjective (imaged) speckle methods. Both theoretical and experimental performance estimates are presented. Through a series of numerical simulations, performance (velocity bias and RMS variation) is characterized in terms of the signal-to-noise ratio. This SNR parameter is a convenient surrogate for the decorrelation of sequential speckle patterns such as those observed in biological tissues. Experimental evaluations are performed on an optically rough metal coupon. We demonstrate that under easily met experimental conditions, estimates of speckle motions on the order of one tenth of a pixel can be obtained reliably.

Citation Download Citation

Donald D. Duncan and Sean J. Kirkpatrick "Gradient-based estimators for one- and two-dimensional speckle motion", Proc. SPIE 5695, Optical Interactions with Tissue and Cells XVI, (15 April 2005); https://doi.org/10.1117/12.590441

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available