This Python project analyzes the blurriness of an image by calculating the high-frequency components using the 2D Fast Fourier Transform (FFT). The blurriness metric is determined by comparing the ...

This project demonstrates the application of 2D Fast Fourier Transform (FFT) on grayscale images using Python. It visualizes the frequency spectrum and applies both low-pass and high-pass filters to ...

The paper explores what is 2 Dimensional Fourier Transform and how it can be used for image processing, specifically denoising and edge enhancing. Starting from the Fourier theorem and Fourier series, ...

Signal source separation is an important aspect of both measurement and signature intelligence (MASINT) as well as modern commercial smart grid applications. In some MASINT scenarios, real-time signal ...