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

Optics Express

Volumn 19, Issue 19, 2011, Pages 18207-18215

  Zhou, Yi ^a   Li, Hongguang ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; NOISE POLLUTION CONTROL; SPECKLE;

ADAPTIVE NOISE; DE-NOISING TECHNIQUES; DENOISING APPROACH; DENOISING METHODS; DIGITAL SPECKLE PATTERN INTERFEROMETRY; EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; SPATIAL INFORMATIONS; SPECKLE NOISE;

ACOUSTIC NOISE MEASUREMENT;

EID: 80052765551     PISSN: None     EISSN: 10944087     Source Type: Journal    
DOI: 10.1364/OE.19.018207     Document Type: Article

References (18)

1. M. B. Bernini, A. Federico, and G. H. Kaufmann, "Noise reduction in digital speckle pattern interferometry using bidimensional empirical mode decomposition," Appl. Opt. 47(14), 2592-2598 (2008).
2. Z. Wu and N. E. Huang, "Ensemble empirical mode decomposition: a noise assisted data analysis method," Adv. Adapt. Data Anal. 1(01), 1-41 (2009).
3. Z. Wu, N. E. Huang, and X. Chen, "The multi-dimensional ensemble empirical mode decomposition," Adv. Adapt. Data Anal. 1(03), 339-372 (2009).
4. A. Federico and G. H. Kaufmann, "Phase retrieval in digital speckle pattern interferometry by application of two-dimensional active contours called snakes," Appl. Opt. 45(9), 1909-1916 (2006).
5. R. Kumar, D. P. Jena, and C. Shakher, "Application of wavelet transform and image morphology in processing vibration speckle interferogram for automatic analysis," Proc. SPIE 8082, 80821Y-5 (2011).
6. A. Federico and G. H. Kaufmann, "Comparative study of wavelet thresholding methods for denoising electronic speckle pattern interferometry fringes," Opt. Eng. 40(11), 2598-2604 (2001).
7. X. Zhou, H. Zhao, and T. Jiang, "Adaptive analysis of optical fringe patterns using ensemble empirical mode decomposition algorithm," Opt. Lett. 34(13), 2033-2035 (2009).
8. A. Federico and G. H. Kaufmann, "Local denoising of digital speckle pattern interferometry fringes by multiplicative correlation and weighted smoothing splines," Appl. Opt. 44(14), 2728-2735 (2005).
9. P. D. Ruiz and G. H. Kaufmann, "Evaluation of a scale-space filter for speckle noise reduction in electronic speckle pattern interferometry," Opt. Eng. 37(8), 2395 (1998).
10. Z. Wang and A. C. Bovik, "A universal image quality index," IEEE Signal Process. Lett. 9(3), 81-84 (2002).
11. A. W. Leissa, "The free vibration of rectangular plates," J. Sound Vibrat. 31(3), 257-293 (1973).
12. C. Loizou, C. Christodoulou, C. S. Pattichis, R. Istepanian, M. Pantziaris, and A. Nicolaides, "Speckle reduction in ultrasound images of atherosclerotic carotid plaque," Proc. IEEE 14th Intl. Conf. Digital Signal Process, 525-528 (2002).
13. T. R. Crimmins, "Geometric filter for speckle reduction," Appl. Opt. 24(10), 1438-1443 (1985).
14. C. Shakher, R. Kumar, S. K. Singh, and S. A. Kazmi, "Application of wavelet filtering for vibration analysis using digital speckle pattern interferometry," Opt. Eng. 41(1), 176 (2002).
15. R. Kumar, I. P. Singh, and C. Shakher, "Measurement of out-of-plane static and dynamic deformations by processing digital speckle pattern interferometry fringes using wavelet transform," Opt. Lasers Eng. 41(1), 81-93 (2004).
16. R. Kumar, "Wavelet filtering applied to time-average digital speckle pattern interferometry fringes," Opt. Laser Technol. 33(8), 567-571 (2001).
17. K. Creath, "Temporal phase method," in Interferogram Analysis, D. Robinson, and G. Reid, eds. (Institute of Physics, 1993), pp. 94-140.
18. Y. Lei, Z. He, and Y. Zi, "Application of the EEMD method to rotor fault diagnosis of rotating machinery," Mech. Syst. Signal Process. 23(4), 1327-1338 (2009).