Wavelet Denoising

Wavelet denoising is an adaptive thresholding algorithm that achieves superior signal-to-noise ratio (SNR), making it one of the most effective denoising methods currently available. The implementation typically involves thresholding wavelet coefficients using methods like soft or hard thresholding.