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Proceedings Paper

Noise reduction in electronic speckle pattern interferometry fringes by fourth-order partial differential equations
Author(s): Wei Lv; Chen Tang; Wenping Wang
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Paper Abstract

Noise reduction is one of the largest problems and biggest difficulties involved in electronic speckle pattern interferometry (ESPI). Although the second-order PDEs denoising method is a useful tool of noise reduction for the ESPI fringe patterns, its main drawback is that the second-order PDE model does not remove impulse noise, a 3×3 mean window filter is generally needed to improve the fringes. For overcome this main drawback, in this paper we apply the fourth-order PDE denoising model to the computer-simulated and experimentally obtained ESPI fringe, respectively. In both tests, the fourth-order PDE denoising model clearly outperforms the second-order PDE denoising model. Experimental results have confirmed that the fourth-order PDE denoising model is capable of removing noise in ESPI fringe images effectively.

Paper Details

Date Published: 11 January 2007
PDF: 6 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62790T (11 January 2007); doi: 10.1117/12.725109
Show Author Affiliations
Wei Lv, Shenyang Institute of Aeronautical Engineering (China)
Shenyang Univ. of Technology (China)
Chen Tang, Tianjin Univ. (China)
Wenping Wang, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics

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