Simple application that applies Butterworth, Gaussian & Ideal kernels on HPF and LPFs

-aka Frequency Domain Filtering- Upload image from sidebar, set the parameters and it will return the image, kernel and the graph of distance (D(u,v)) against the filter function (H(u,v)).

To run the project:

• Open a Python environment (preferably 3.7 or 3.8)
• run "pip install -r requirements.txt"
• Lastly, run "streamlit run app.py", this will serve the application at http://localhost:8501/.

Disclaimer: this is made for my CSE587 assignment has no purpose whatsoever to be used profesionally, the code can probably be optimized.