MATLAB Program for Image Processing Using Gaussian Function

This MATLAB program demonstrates image processing using Gaussian functions. The Gaussian function, a fundamental mathematical tool widely employed in digital image processing, can be utilized for image blurring, smoothing, and enhancement operations. By adjusting the parameters of the Gaussian function, we can precisely control the processing effects on images. Specifically, modifying the standard deviation parameter (sigma) allows control over the blurring intensity, while adjusting the amplitude parameter can enhance image contrast. The implementation employs MATLAB's fspecial function to create Gaussian filters and imfilter function for convolution operations. Key algorithmic steps include: 1) Defining the Gaussian kernel size and sigma value, 2) Generating the 2D Gaussian filter using meshgrid coordinates, 3) Applying the filter through convolution with the input image, and 4) Normalizing the output for proper display. This Gaussian-based approach provides a flexible and effective method for image processing, particularly useful in noise reduction and edge detection preprocessing. The program includes complete MATLAB code implementation with sample images for reference, demonstrating practical applications of Gaussian filtering in spatial domain image processing.