Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89570
Title: WFF-BM3D : a hybrid denoising scheme for fringe patterns
Authors: Zhao, Ming
Qian, Kemao
Keywords: Fringe Pattern
Image Denoising
DRNTU::Engineering::Computer science and engineering
Issue Date: 2015
Source: Zhao, M., & Qian, K. (2015). WFF-BM3D : a hybrid denoising scheme for fringe patterns. Proceedings of SPIE - International Conference on Optical and Photonic Engineering (icOPEN2015), 9524, 952423-. doi:10.1117/12.2189620
Conference: Proceedings of SPIE - International Conference on Optical and Photonic Engineering (icOPEN2015)
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.
URI: https://hdl.handle.net/10356/89570
http://hdl.handle.net/10220/47097
DOI: 10.1117/12.2189620
Schools: School of Computer Science and Engineering 
Rights: © 2015 Society of Photo-optical Instrumentation Engineers (SPIE). This paper was published in Proceedings of SPIE - International Conference on Optical and Photonic Engineering (icOPEN2015) and is made available as an electronic reprint (preprint) with permission of Society of Photo-optical Instrumentation Engineers (SPIE). The published version is available at: [http://dx.doi.org/10.1117/12.2189620]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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