2019
DOI: 10.1016/j.sigpro.2018.11.012
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Local activity-driven structural-preserving filtering for noise removal and image smoothing

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Cited by 29 publications
(24 citation statements)
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“…where k => 8000 r is the correlation coefficient. The greatest standard deviation estimate is received when r value is close to zero, then σ r ≈ 0.011 where r ≈ 0.5 we have σ r ≈ 0.007 [29][30][31][32][33][34][35][36][37][38][39][40][41].…”
Section: Covariance Model Of Vibration Signal Parametersmentioning
confidence: 94%
See 1 more Smart Citation
“…where k => 8000 r is the correlation coefficient. The greatest standard deviation estimate is received when r value is close to zero, then σ r ≈ 0.011 where r ≈ 0.5 we have σ r ≈ 0.007 [29][30][31][32][33][34][35][36][37][38][39][40][41].…”
Section: Covariance Model Of Vibration Signal Parametersmentioning
confidence: 94%
“…A random function compiled on the basis of arrays of measurement data of vibration parameters ϕ is considered stationary (in the broad sense), i.e., with the average of M ϕ(t) → const, while the covariance function depends solely on the difference between arguments τ − K ϕ (τ) Discrete Fourier transformation [16][17][18][19][28][29][30][31][32] may be used to process digital signals. Auto-covariance function of one data array or inter-covariance function of two arrays K ϕ (τ) is expressed as follows [78]:…”
Section: Covariance Model Of Vibration Signal Parametersmentioning
confidence: 99%
“…Tang et al [40] use a general weighted pixel-wise squared sum of derivatives in a local window to distinguish structure and texture and process them in different ways. Zhao et al [41] combine local activity measurement and RTV, proposes LAD-RTV algorithm. Lee et al [44] proposed a new gradient operator, called interval gradient, to filter out textures from images.…”
Section: B Structure-preserving Methodsmentioning
confidence: 99%
“…Due to the requirements for detection efficiency and effect, a smoothing algorithm using anisotropic diffusion is applied in this paper. As an excellent fast edge-preserving filter, this filter can also avoid the halo phenomenon that may occur in general edge-preserving filters [32]- [34]. Next, the contrast of fabric images needs to be enhanced to make the warp and weft more prominent.…”
Section: B Fabric Images Capture and Preprocessingmentioning
confidence: 99%