Congress detail

Authors: Bernini, M. B.; Federico, A; Kaufmann, G. H.

Resumen: We present an introduction to the Bidimensional Empirical ModeDecomposition (BEMD) and its application to the denoising of DSPIfringes. The BEMD is based on the decomposition of an image in highand low frequency zero-mean oscillation modes, called intrinsic modefunctions (IMFs). The decomposition is carried out through a siftingprocess which produces significantly fewer basis functions than the onesgenerated by the Fourier or the wavelet transforms. The denoisingapproach is based on the removal of the first IMFs, so that thefiltered image is given by the residue. A normalization algorithm isthen applied to the denoised fringes to reduce the oversmoothingcaused by the filtering. The performance of this denoising approachwas evaluated using computer-simulated DSPI fringes with differentfringe density and speckle size, in order to calculate a figure ofmerit through the comparison with the noise-free fringes. Theobtained results are also compared with those produced by othersmoothing methods, and the advantages and limitations of theproposed approach are finally discussed.

Meeting type: Congreso.

Type of job: Artículo Completo.

Production: Denoising of digital speckle pattern interferometry fringes by means of Bidimensional Empirical Mode Decomposition.

Scientific meeting: Optics and Photonics 2008, Interferometry XIV: Techniques and Analysis.

Meeting place: San Diego, USA.

Organizing Institution: SPIE - The International Society for Optical Engineering.

It's published?: Yes

Publication place: Bellingham

Meeting month: 12

Year: 2008.