A Comprehensive MATLAB Noise Generator

This MATLAB program implements a sophisticated noise generator that produces multiple types of noise and applies them to digital images. Specifically, it generates Gaussian noise (using randn function for normal distribution), salt-and-pepper noise (implemented through random pixel value replacement), additive noise (direct pixel value addition), and multiplicative noise (pixel value scaling). The program offers practical utility for image processing, signal processing research, and experimental studies in related fields. Through this noise generator, users can effectively analyze how different noise types impact image quality and conduct comparative studies. The implementation includes parameter customization features allowing users to adjust noise intensity, density, and distribution characteristics through intuitive input interfaces. Furthermore, the code structure employs modular design with separate functions for each noise type, facilitating easy integration and modification. This powerful yet user-friendly tool serves as an essential assistant for researchers and practitioners working on noise-related analysis and digital image processing applications.