Abstract
Digital speckle pattern interferometry (DSPI) is a new and efficient technique for measuring the difference in out-of-plane displacement. However, DSPI fringes contain low spatial information degraded with random speckle noise and background intensity. A denoising scheme based on fast bi-dimensional ensemble empirical mode decomposition (FBEEMD) and energy estimation of bi-dimensional intrinsic mode function (BIMF) is proposed to reduce speckle noise in this paper. Furthermore, the denoising scheme is compared with other denoising methods, and evaluated quantitatively using computer-simulated and experimental DSPI fringes.
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