Bilinear Interpolation Equation:
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Bilinear interpolation is an extension of linear interpolation for interpolating functions of two variables on a regular grid. It performs linear interpolation first in one direction, and then again in the other direction.
The calculator uses the bilinear interpolation equation:
Where:
Explanation: The equation combines linear interpolation in both x and y directions to estimate values between known grid points.
Details: Commonly used in image processing, computer graphics, geographic information systems (GIS), and numerical analysis for estimating values between discrete data points.
Tips: Enter the four coefficients (a, b, c, d) derived from your grid values and the position (x, y) where you want to estimate the value. All values are unitless.
Q1: How are the coefficients a, b, c, d determined?
A: They are calculated from the four known grid points surrounding your target (x,y) position.
Q2: What's the difference between bilinear and bicubic interpolation?
A: Bicubic uses more neighboring points (16 vs 4) and provides smoother results but is more computationally intensive.
Q3: When should I use bilinear interpolation?
A: When you need a good balance between accuracy and computational simplicity for 2D data.
Q4: What are the limitations of bilinear interpolation?
A: It assumes linearity between points and can produce artifacts when the underlying function has high curvature.
Q5: Can this be extended to 3D?
A: Yes, trilinear interpolation extends this concept to three dimensions.