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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 19, Iss. 19 — Sep. 12, 2011
  • pp: 18207–18215

Adaptive noise reduction method for DSPI fringes based on bi-dimensional ensemble empirical mode decomposition

Yi Zhou and Hongguang Li  »View Author Affiliations

Optics Express, Vol. 19, Issue 19, pp. 18207-18215 (2011)

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Digital speckle pattern interferometry (DSPI) fringes contain low spatial information degraded with speckle noise and background intensity. The denoising technique proposed recently based on bi-dimensional empirical mode decomposition (BEMD) could implement noise reduction adaptively. However, the major drawback of BEMD, called mode mixing, has affected its practical application. With noise-assisted data analysis (NADA) method, bi-dimensional ensemble empirical mode decomposition (BEEMD) was proposed, which has solved the problem of mode mixing. The denoising approach based on BEEMD will be presented, compared with other classic denoising methods and evaluated both qualitatively and quantitatively using computer-simulated and experimental DSPI fringes.

© 2011 OSA

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2650) Image processing : Fringe analysis
(100.2980) Image processing : Image enhancement
(120.6150) Instrumentation, measurement, and metrology : Speckle imaging
(120.6160) Instrumentation, measurement, and metrology : Speckle interferometry

ToC Category:
Image Processing

Original Manuscript: August 7, 2011
Revised Manuscript: August 8, 2011
Manuscript Accepted: August 8, 2011
Published: September 1, 2011

Yi Zhou and Hongguang Li, "Adaptive noise reduction method for DSPI fringes based on bi-dimensional ensemble empirical mode decomposition," Opt. Express 19, 18207-18215 (2011)

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