This project explores the implementation and comparison of spatial-domain filters, frequency-domain filters using Fast Fourier Transform (FFT), and a deep learning-based Denoising Convolutional Neural Network (DnCNN) model for image enhancement and noise reduction. The results are visualized for two input images to demonstrate performance across different methodologies.
