Integer Multiple Image Scaling Using Bilinear Interpolation in MATLAB

In MATLAB, we can implement integer multiple image scaling using bilinear interpolation method. Bilinear interpolation is a commonly used image scaling algorithm that estimates the grayscale values of new pixels based on known pixel values, thereby achieving image magnification. This method effectively prevents jagged edges and distortion issues that often occur after image scaling, resulting in clearer and more refined enlarged images. The algorithm works by performing linear interpolation first in one direction, then in the perpendicular direction, using weighted averages of the four nearest neighboring pixels. In MATLAB implementation, this can be achieved using the imresize function with the 'bilinear' parameter or by manually implementing the interpolation algorithm using meshgrid and interpolation calculations. The key steps involve calculating the coordinates of the target image, determining the corresponding positions in the original image, and computing the weighted average of surrounding pixels. This approach provides smooth transitions between pixels and maintains image quality better than nearest-neighbor interpolation. Therefore, using bilinear interpolation for integer multiple image scaling in MATLAB represents a feasible and effective methodology for digital image processing applications.