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Visual Computing for Industry, Biomedicine, and Art
Fig. 7 | Visual Computing for Industry, Biomedicine, and Art

Fig. 7

From: Intensity-curvature functional based digital high pass filter of the bivariate cubic B-spline model polynomial function

Fig. 7

Comparison across ICF-based HPFs and traditional HPFs. (a) MRI. (b) MRI filtered with bivariate cubic polynomial model function B32D ICF-based HPF. (c) The k-space magnitude of (b). (d) MRI filtered with the bivariate cubic Lagrange polynomial model function G42D ICF-based HPF. (e) The k-space magnitude of (d). (f) MRI filtered with traditional HPF. (g) The k-space of (f). (h) MRI filtered with the bivariate cubic B-spline H42D ICF-based HPF. (i) The k-space magnitude of (h)

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