What are the different types of interpolation methods used in computer graphics?

The different types of interpolation methods used in computer graphics are:

1. Nearest Neighbor Interpolation: This method selects the value of the nearest pixel to determine the color or intensity of a new pixel. It is the simplest and fastest interpolation method but can result in pixelation and loss of detail.

2. Bilinear Interpolation: This method calculates the color or intensity of a new pixel by taking a weighted average of the four nearest pixels. It provides smoother results compared to nearest neighbor interpolation but can still result in some blurring.

3. Bicubic Interpolation: This method uses a more complex algorithm to calculate the color or intensity of a new pixel by considering a larger neighborhood of pixels. It provides even smoother results and better preserves details compared to bilinear interpolation.

4. Spline Interpolation: This method uses mathematical curves called splines to interpolate between known data points. It provides more flexibility and control over the interpolation process, allowing for smoother and more accurate results.

5. Lanczos Interpolation: This method uses a windowed sinc function to calculate the color or intensity of a new pixel. It provides high-quality results with minimal blurring and is commonly used in image resizing and scaling algorithms.

These interpolation methods are used in various computer graphics applications such as image resizing, texture mapping, and rendering to enhance the visual quality and smoothness of images.