Biquadratic interpolation with independent sample weights
thomasdeliot.wixsite.com › blog › single-postMar 30, 2020 · It seems that quadratic interpolation, with 3 samples, would offer more control on cost vs quality, especially in the 2D case at 4 vs 9 vs 16 samples. It can be a useful tool where one can't afford the 4*4 samples for smooth bicubic interpolation but bilinear isn't good enough. It is especially useful when the 3*3 neighbourhood values are already available due to some other process, as can often be the case in post-processing.
Bilinear interpolation - Wikipedia
https://en.wikipedia.org/wiki/Bilinear_interpolationIn mathematics, bilinear interpolation is a method for interpolating functions of two variables (e.g., x and y) using repeated linear interpolation. It is usually applied to functions sampled on a 2D rectilinear grid, though it can be generalized to functions defined on the vertices of (a mesh of) arbitrary convex quadrilaterals. Bilinear interpolation is performed using linear interpolation first in one direction…
Bi-Quadratic Interpolation - F-Chart Software
fchartsoftware.com › bi_quadratic_interpolationBi-Quadratic Interpolation. The bi-quadratic interpolation scheme attempt to represent Z as a function of X and Y using the following relation. The coefficients are found using linear least squares to minimize the error in representing N points in the vicinity of the point of interest. By default, N=16. The Interpolate2D function provides an optional argument to specify N.
Bilinear interpolation - Wikipedia
en.wikipedia.org › wiki › Bilinear_interpolationIn mathematics, bilinear interpolation is a method for interpolating functions of two variables (e.g., x and y) using repeated linear interpolation.It is usually applied to functions sampled on a 2D rectilinear grid, though it can be generalized to functions defined on the vertices of (a mesh of) arbitrary convex quadrilaterals.