Contribution study of monogenic wavelets transform to reduce speckle noise in digital speckle pattern interferometry

Sara Zada, Yassine Tounsi, Manoj Kumar, Fernando Mendoza-Santoyo, Abdelkrim Nassim

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


Wavelets shrinkage is the most illustrative of wavelets transform for speckle noise reduction. We aim to study the performance of a monogenic wavelet transform to reduce the speckle noise in digital speckle pattern interferometric fringes. The proposed method is implemented on simulated and experimental speckle fringe patterns and its performance is appraised on the basis of peak signal-to-noise ratio (PSNR) and quality index (Q). The ability to reduce the speckle noise by the proposed method is compared with other classical speckle denoising methods. The obtained results corroborate the effectiveness of the proposed method for speckle noise reduction in speckle fringes in terms of PSNR and Q. It is also observed that the method provides better qualitative and quantitative results. Furthermore, the proposed method preserves the edge information of the speckle fringes, a feature that is quantified by the edge preservation index.

Original languageEnglish
Article number034109
JournalOptical Engineering
Issue number3
StatePublished - 1 Mar 2019
Externally publishedYes


  • Riesz transform
  • digital speckle pattern interferometry
  • monogenic signal
  • monogenic wavelets transform
  • speckle denoising

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (all)


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