Signal processing for reduction of speckle noise in light-stripe systems

Markus Becker

doi:10.1117/12.220899

13 September 1995 Signal processing for reduction of speckle noise in light-stripe systems

Markus Becker

Proceedings Volume 2598, Videometrics IV; (1995) https://doi.org/10.1117/12.220899
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

Nontactile range sensors based on the lightstripe triangulation method are now widely accepted in production and quality control due to their speed and accuracy. However, some problems show up when extracting contour data due to the speckles induced by coherent lighting. Analyses have shown that the nature of this error is Gaussian, regardless of the nearly multiplicative nature of the speckle noise in the image data itself. Proceeding on this assumption, several approaches to eliminate this error and increase the subjective image quality will be shown in this paper. From a simple FIR-filter with a reectangular pulse response over a better adapted Gaussian pulse response FIR to finally a logarithmic-Gaussian FIR that takes the multiplicative nature of the noise into account, visual results and error reduction are discussed. The additional memory and processing power requirements are minimal since the pulse response of the filters is quite short and the logarithmic/exponential calculations can be performed on a look-up-table basis.

Citation Download Citation

Markus Becker "Signal processing for reduction of speckle noise in light-stripe systems", Proc. SPIE 2598, Videometrics IV, (13 September 1995); https://doi.org/10.1117/12.220899

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