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ESPI filtering method based on anisotropic coherence diffusion and Perona-Malik diffusion

Journal Article


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Abstract


  • Noise reduction is one of the most important concerns in electronic speckle pattern interferometry (ESPI).

    According to partial differential equation (PDE) filtering theory, we present an anisotropic PDE noise-

    reduction model based on fringe structure information for interferometric fringe patterns. This model is

    based on coherence diffusion and Perona-Malik (P-M) diffusion. The former can protect the structure

    information of fringe pattern, while the latter can effectively filter off the noise inside the fringes. The

    proposed model generated by the two diffusion methods helps to obtain good effects of denoising and

    fidelity. ESPI fringes and the phase pattern are tested. Experimental results validate the performance of

    the proposed filtering model.

UOW Authors


  •   Xiao, Zhitao (external author)
  •   Xu, Zhenbei (external author)
  •   Zhang, Fang (external author)
  •   Geng, Lei (external author)
  •   Wu, Jun (external author)
  •   Yuan, Quan (external author)
  •   Xi, Jiangtao

Publication Date


  • 2013

Citation


  • Z. Xiao, Z. Xu, F. Zhang, L. Geng, J. Wu, Q. Yuan & J. Xi, "ESPI filtering method based on anisotropic coherence diffusion and Perona-Malik diffusion," Chinese Optics Letters, vol. 11, (10) pp. 101101-1-101101-4, 2013.

Scopus Eid


  • 2-s2.0-84888612956

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2675&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1666

Start Page


  • 101101-1

End Page


  • 101101-4

Volume


  • 11

Issue


  • 10

Abstract


  • Noise reduction is one of the most important concerns in electronic speckle pattern interferometry (ESPI).

    According to partial differential equation (PDE) filtering theory, we present an anisotropic PDE noise-

    reduction model based on fringe structure information for interferometric fringe patterns. This model is

    based on coherence diffusion and Perona-Malik (P-M) diffusion. The former can protect the structure

    information of fringe pattern, while the latter can effectively filter off the noise inside the fringes. The

    proposed model generated by the two diffusion methods helps to obtain good effects of denoising and

    fidelity. ESPI fringes and the phase pattern are tested. Experimental results validate the performance of

    the proposed filtering model.

UOW Authors


  •   Xiao, Zhitao (external author)
  •   Xu, Zhenbei (external author)
  •   Zhang, Fang (external author)
  •   Geng, Lei (external author)
  •   Wu, Jun (external author)
  •   Yuan, Quan (external author)
  •   Xi, Jiangtao

Publication Date


  • 2013

Citation


  • Z. Xiao, Z. Xu, F. Zhang, L. Geng, J. Wu, Q. Yuan & J. Xi, "ESPI filtering method based on anisotropic coherence diffusion and Perona-Malik diffusion," Chinese Optics Letters, vol. 11, (10) pp. 101101-1-101101-4, 2013.

Scopus Eid


  • 2-s2.0-84888612956

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2675&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1666

Start Page


  • 101101-1

End Page


  • 101101-4

Volume


  • 11

Issue


  • 10