Bilinear Interpolation Image Shrinking Algorithm

The bilinear interpolation image shrinking algorithm is a widely-used image processing technique that efficiently handles image resizing and scaling operations. This algorithm calculates pixel values by performing interpolation between adjacent pixels, utilizing weighted averages of the four nearest neighbors to produce smooth scaling results. The implementation typically involves mapping target pixel coordinates to the source image space, calculating interpolation weights based on relative distances, and computing weighted sums of neighboring pixel values. Key functions in code implementations often include coordinate transformation, boundary handling, and interpolation weight calculation. This method finds extensive applications in image processing for operations like magnification, reduction, and rotation, delivering optimized results in both dimensional adjustment and quality preservation. Through bilinear interpolation, images can be processed to achieve balanced improvements in both size characteristics and visual quality.