MATLAB Code Implementation for Denoising with Gaussian Noise Removal

I have developed a MATLAB-based denoising program that effectively eliminates Gaussian noise from images. The implementation utilizes fundamental image processing techniques and noise distribution modeling to achieve optimal results. The program is designed with user-friendly interface components and clear code documentation, making it accessible even for non-computer specialists. Through systematic noise estimation and filtering operations, this program significantly enhances image quality by reducing noise artifacts while preserving important image features. The code architecture employs modular design principles, allowing straightforward integration of additional denoising algorithms such as wavelet transforms, non-local means, or deep learning approaches. Key functions include noise parameter estimation, adaptive filtering implementations, and performance evaluation metrics. This extensible framework enables users to customize the solution for various application requirements by modifying algorithm parameters or adding new noise reduction modules. I hope you find this program valuable and that it proves beneficial for your image processing workflows. The implementation demonstrates practical applications of digital image restoration techniques while providing a foundation for further computational photography experiments.