Eighth International Conference on Graphic and Image Processing (ICGIP 2016) 2017
DOI: 10.1117/12.2266724
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Robust optical flow using adaptive Lorentzian filter for image reconstruction under noisy condition

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Cited by 2 publications
(5 citation statements)
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“…This approach presented the use of modifying the Lorentzian norm function in SFOF [20]. The robust variation is the principle of problem variation in the noisy domain.…”
Section: Lorentzian Norm Function On Sfofmentioning
confidence: 99%
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“…This approach presented the use of modifying the Lorentzian norm function in SFOF [20]. The robust variation is the principle of problem variation in the noisy domain.…”
Section: Lorentzian Norm Function On Sfofmentioning
confidence: 99%
“…To strengthen the degree of preciseness in the MV determination of spatial-field optical flow approach under the noisy domain, this paper proposed the modifying Lorentzian norm function [20] in accompany with spatial-field optical flow approach for MV determination. We verified the achievement through the simulation of non-Gaussian noises (salt & pepper, speckle, and poison) at different noise densities and variances.…”
Section: Introductionmentioning
confidence: 99%
“…In optical flow, bilateral Filter [6][7] is a frequent smoothing filter for noise-reduction. Bilateral Filter is used to be added in optical flow where the depth in a photograph is modified through the usage of common weighted beyond neighbors (bilateral-kernel) defined as:- (4) where δ a is trendy deviation of 7 × sign v(x) and δ b is widespread deviation of intensity I(x). Bilateral filter is occupied in accordance with prepare the calculation as like follows:-…”
Section: Bilateral Filtermentioning
confidence: 99%
“…Moreover, this function of the adaptive-Lorentzian norm is clean for that reason mathematical formulation of the minimization hassle is tractably solved into the closed form. The Adaptive-Lorentzian (A-L) norm and its function are defined mathematically as following equations: 7Then, the robust optical flow using adaptive-Lorentzian (A-L) [4] formulate adaptive-Lorentzian norm as adaptive-Lorentzian norm affect feature for remaining MD. We suggest the value regarding T as 1.25 in our proposed A-L.…”
Section: F Adaptive-lorentzianmentioning
confidence: 99%
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