Soft thresholding

Soft thresholding is a mathematical technique used to reduce noise or unwanted details in data, such as a signal or an image. It gently "shrinks" small values toward zero, effectively removing insignificant information, while preserving larger, more meaningful features. Think of it as contouring a hill: lower ridges are smoothed out, but the main summit remains prominent. This process helps in applications like signal processing and denoising, balancing noise reduction with retaining important data characteristics, resulting in a clearer, more accurate representation.