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Python script to interpolate with Newton method.
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#! /usr/local/bin/python3.6 | |
""" | |
Interpolation with Newton method | |
""" | |
import sys | |
import traceback | |
class InterpolateNewton: | |
X = [0.0, 2.0, 3.0, 5.0, 8.0] | |
Y = [0.8, 3.2, 2.8, 4.5, 1.9] | |
def __init__(self): | |
self.n = len(self.X) | |
def compute(self): | |
""" Computation of interpolation with Newton method """ | |
try: | |
print(" x y") | |
for a in range(int(self.X[-1]) * 2 + 1): | |
t = 0.5 * a | |
print("{:7.2f}{:7.2f}".format(t, self.__interpolate(t))) | |
except Exception as e: | |
raise | |
def __interpolate(self, t): | |
""" Interpoalation with Newton method | |
:param float t | |
""" | |
try: | |
c = [0 for _ in range(self.n)] | |
w = [0 for _ in range(self.n)] | |
for i in range(0, self.n): | |
w[i] = self.Y[i] | |
for j in reversed(range(i)): | |
w[j] = (w[j + 1] - w[j]) / (self.X[i] - self.X[j]) | |
c[i] = w[0] | |
s = c[self.n - 1] | |
for i in reversed(range(self.n - 1)): | |
s = s * (t - self.X[i]) + c[i] | |
return s | |
except Exception as e: | |
raise | |
if __name__ == '__main__': | |
try: | |
obj = InterpolateNewton() | |
obj.compute() | |
except Exception as e: | |
traceback.print_exc() | |
sys.exit(1) |
Newton interpolation is a method of finding an interpolated polynomial that passes through all given pairs of (x, y).
It is not intended to be applied to images.
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how to use this method with any image