MATLAB Implementation of Image Scaling Using Nearest Neighbor Interpolation

This is a compact MATLAB program that implements image scaling (both enlargement and reduction) using the nearest neighbor interpolation method. The program allows you to customize image dimensions according to your specific requirements. The nearest neighbor interpolation algorithm is a widely-used image processing technique that operates by identifying the closest original pixel value to the target pixel position. The implementation typically involves: 1. Calculating the scaling ratio between original and target dimensions 2. Mapping target pixel coordinates back to original image space 3. Rounding coordinates to nearest integer values to select source pixels 4. Assigning pixel values directly without weighted averaging Key MATLAB functions utilized in this implementation include: - imread() for image input - size() for dimension calculation - round() for coordinate mapping - imshow() for result visualization This algorithm is particularly valued for its computational simplicity and fast execution speed, making it ideal for applications requiring rapid image processing. The straightforward implementation involves minimal mathematical operations, primarily focusing on coordinate transformation and direct pixel value assignment. We hope this utility proves beneficial for your image processing tasks!