Image Interpolation Using Bilateral Filter Implementation

This MATLAB-based program implements image interpolation functionality using a bilateral filter. Image interpolation refers to the process of increasing image resolution or improving image quality by inserting new pixels between existing ones. In this implementation, the bilateral filter serves dual purposes: smoothing the image while preserving crucial edge information, thereby preventing unnatural artifacts during the interpolation process. The algorithm efficiently computes weighted averages where pixel weights are determined by both spatial proximity and intensity similarity, ensuring smooth transitions while maintaining sharp edges. The program performs high-efficiency and precise interpolation operations, resulting in enhanced image detail resolution and overall clarity. Key functions include bilateral filtering kernel implementation with customizable spatial and range parameters, handling of color channels for RGB images, and optimized computation methods for large-scale image processing.