Normalization is a pre-processing operation that maps image pixel values to a specific numerical range (such as [0,1] or [-1,1]) and eliminates differences in data distribution. Common methods include normalization and standardization (Z-Score), which can improve the convergence speed and generalization ability of the model, and is an essential step in deep learning image tasks.
