Nearest Neighbor and Linear Interpolation Algorithms with MATLAB Implementation

Recent MATLAB releases have introduced robust implementations of both nearest neighbor and linear interpolation algorithms with complete executable code. These interpolation methods are particularly valuable for image scaling operations and various MATLAB-based interpolation tasks. The nearest neighbor algorithm works by assigning the value of the closest pixel to the interpolation point, making it computationally efficient though sometimes resulting in blocky artifacts. Linear interpolation calculates weighted averages between adjacent pixels, producing smoother transitions but requiring more computational resources. Both algorithms can be implemented using MATLAB's built-in functions like imresize() with specified interpolation methods, or through custom code that manipulates pixel coordinates and intensity values directly. These techniques are essential for image enlargement applications where maintaining image quality while increasing resolution is crucial.