Image_Denoising_Using_FFT_and_DnCNN

• Supervisor: Dr. Esmaeel Tahanian
  
• Course: Engineering Mathematics
  
• Organization: Shahrood University of Technology
  

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.

Demo 🎉

⛳ Denoising Image Data Using FFT ⛳

📈 Denoising Image Data Using DnCNN 📈