2011
DOI: 10.1016/j.ijleo.2010.10.022
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Application of wavelet filtering techniques to Lau interferometric fringe analysis for measurement of small tilt angles

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Cited by 7 publications
(1 citation statement)
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“…The spatial filter do the denoising by multiplying different masks [13], averaging based on nonlocal self-similarity [14], carrying on the non-linear local filter [4,15] or using the local polynomial approximation [16,17] to get rid of the noise. The frequency filter removes the noise by using a low pass or high pass filter in the frequency domain [18,9,19]. The regularization method establishes a regularized cost function and restrain the noise by minimizing the cost function [20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…The spatial filter do the denoising by multiplying different masks [13], averaging based on nonlocal self-similarity [14], carrying on the non-linear local filter [4,15] or using the local polynomial approximation [16,17] to get rid of the noise. The frequency filter removes the noise by using a low pass or high pass filter in the frequency domain [18,9,19]. The regularization method establishes a regularized cost function and restrain the noise by minimizing the cost function [20][21][22].…”
Section: Introductionmentioning
confidence: 99%