CDF wavelets

CDF wavelets, or Cohen-Daubechies-Feauveau wavelets, are mathematical functions used in signal processing to analyze and compress data like images and audio. They decompose signals into different frequency components, capturing both overall shapes and detailed features. This process helps efficiently represent complex data, making tasks like image compression more effective without losing important information. CDF wavelets are symmetrical and stable, which makes them particularly useful for high-quality image and video compression, ensuring minimal artifacts and preserving details during data reduction.