WFF-BM3D: a hybrid denoising scheme for fringe patterns

Ming Zhao; Kemao Qian

doi:10.1117/12.2189620

17 July 2015 WFF-BM3D: a hybrid denoising scheme for fringe patterns

Ming Zhao, Kemao Qian

Proceedings Volume 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015); 952423 (2015) https://doi.org/10.1117/12.2189620
Event: International Conference on Optical and Photonic Engineering (icOPEN2015), 2015, Singapore, Singapore

Abstract

Fringe patterns are widely used in the optical interferometry. The captured fringe patterns usually have noises, and thus a filtering process for fringe patterns is necessary. The windowed Fourier filtering (WFF) algorithm is proposed specially for fringe pattern denoising. The WFF performs well in continuous areas, but has problems in discontinuous areas. In this paper, we proposed a hybrid denoising scheme which combines the advantages of the local WFF algorithm and non-local block-matching 3D filtering (BM3D) algorithm. This new scheme can recover fringe pattern information from the WFF residuals, and improve the denoising results effectively.

Citation Download Citation

Ming Zhao and Kemao Qian "WFF-BM3D: a hybrid denoising scheme for fringe patterns", Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 952423 (17 July 2015); https://doi.org/10.1117/12.2189620

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