MATLAB Image Processing Code Implementation with Gaussian Smoothing and Denoising

This collection contains MATLAB source code for image processing applications, including Gaussian smoothing filters and image denoising implementations. The code demonstrates frequency-domain smoothing techniques using MATLAB's built-in functions like fft2() for Fourier transform and ifft2() for inverse transform, allowing for more refined image processing operations. These implementations showcase practical applications of convolution operations using fspecial('gaussian') to create filter kernels and imfilter() for applying spatial domain filters. The comprehensive codebase covers both spatial and frequency domain approaches, illustrating how to manipulate image spectra using low-pass filters to reduce high-frequency noise. Suitable for both beginners and experienced practitioners, this resource provides hands-on examples that help deepen understanding of image processing techniques, including practical implementations of noise reduction algorithms and filter parameter optimization. The code includes commented sections explaining key algorithmic steps and MATLAB function usage for better learning outcomes.