A denoising scheme for DSPI fringes based on fast bi-dimensional ensemble empirical mode decomposition and BIMF energy estimation

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.

► DSPI fringes contain low spatial information degraded with speckle noise. ► We propose a denoising scheme based on FBEEMD and BIMF energy estimation. ► We compare the denoising scheme with other methods. ► This scheme presents better performance for both simulated and experimental DSPI fringes.