CDF (Cohen-Daubechies-Feauveau) wavelet

The Cohen-Daubechies-Feauveau (CDF) wavelet is a mathematical tool used in signal processing and image compression. It efficiently breaks down complex data into simpler components at different scales, helping to identify important features like edges in images. Unlike traditional methods, CDF wavelets handle data smoothly without losing details, making them ideal for high-quality compression (such as JPEG2000). They are designed for fast computation and can adapt to diverse signals, providing a balance between data reduction and preserving clarity. Overall, CDF wavelets are powerful for analyzing, compressing, and reconstructing images and signals accurately.