Fourier Filtering

This lecture introduces Fourier filtering, focusing on understanding the principles behind it rather than the mathematical details. It covers the concept of representing signals using sine waves, explores applications in biological images, and demonstrates how Fourier methods can be applied in Fiji software. The lecture explains how Fourier transforms can be used to enhance desired elements in an image while reducing unwanted components, showcasing practical examples such as removing background gradients and shadows in microscopy. It also demonstrates the process of creating filters in the Fourier domain to manipulate images and highlights the efficiency of Fast Fourier Transform (FFT) in digital image processing.