Bicubic Interpolation

1. What is meant by bicubic interpolation?
2. What is the difference between bilinear and bicubic?
3. What are the difference between nearest neighbor and bicubic interpolation?
4. What is the best image interpolation method?

What is meant by bicubic interpolation?

In mathematics, bicubic interpolation is an extension of cubic interpolation (not to be confused with cubic spline interpolation, a method of applying cubic interpolation to a data set) for interpolating data points on a two-dimensional regular grid.

What is the difference between bilinear and bicubic?

Bilinear: A method that adds pixels by averaging the color values of surrounding pixels. It produces medium-quality results. Bicubic (Default): A slower but more precise method based on an examination of the values of surrounding pixels. Bicubic produces smoother tonal gradations than Nearest Neighbor or Bilinear.

What are the difference between nearest neighbor and bicubic interpolation?

Nearest Neighbor can be used on continuous data but the results can be blocky. Bilinear Interpolation uses a weighted average of the four nearest cell centers. The closer an input cell center is to the output cell center, the higher the influence of its value is on the output cell value.

What is the best image interpolation method?

The most commonly used methods are the nearest neighbor, linear and spline interpolation techniques. Less common are the polynomial and Lagrange interpolation methods. The numerical accuracy and computational cost of interpolation algorithms are directly tied to the interpolation kernel.