Implementation of Common Bilinear Interpolation Method

In image processing, operations like image extraction and interpolation are commonly required. This program demonstrates the implementation of the bilinear interpolation method, a standard technique in the field. Image extraction involves selecting regions of interest from the original image, while interpolation estimates unknown pixel values based on known data points using specific algorithms. Bilinear interpolation calculates unknown pixel values by weighting the four adjacent known pixels, ensuring smooth transitions and enhanced detail preservation. The algorithm typically involves: 1) Identifying the four nearest neighbors to the target coordinate, 2) Computing horizontal and vertical interpolation weights based on relative distances, 3) Combining weighted pixel values through two sequential linear interpolations. This example provides a practical reference for understanding bilinear interpolation's application in image processing, including key functions for coordinate mapping and pixel intensity blending.