DWT (Discrete Wavelet Transform)

The Discrete Wavelet Transform (DWT) is a mathematical technique used to analyze signals, like images or sounds, by breaking them down into simpler components at various scales. Unlike traditional methods, DWT captures both the overall structure and fine details efficiently, making it useful for processing, compressing, or analyzing data. It works by applying wavelet functions that focus on different frequency parts of the signal, allowing us to see both the big picture and the fine details simultaneously. This makes DWT valuable in fields like image compression, noise reduction, and feature extraction.