Computer Graphics Questions
The different types of image interpolation methods used in computer graphics are:
1. Nearest Neighbor Interpolation: This method selects the value of the nearest pixel to determine the color of a new pixel. It is the simplest interpolation method but can result in pixelation and loss of detail.
2. Bilinear Interpolation: This method calculates the color of a new pixel by taking a weighted average of the colors of the four nearest pixels. It provides smoother results compared to nearest neighbor interpolation.
3. Bicubic Interpolation: This method uses a more complex algorithm to calculate the color of a new pixel by considering the colors of the surrounding 16 pixels. It produces even smoother results and is commonly used in image resizing and scaling.
4. Lanczos Interpolation: This method uses a windowed sinc function to calculate the color of a new pixel. It provides high-quality results with minimal loss of detail but requires more computational resources.
5. Spline Interpolation: This method uses mathematical splines to estimate the color of a new pixel based on the colors of surrounding pixels. It can produce smooth and visually pleasing results.
These interpolation methods are used to fill in the gaps or missing information when resizing or scaling images in computer graphics.