Pixel intensity scaling is a preprocessing technique used in image processing to adjust the range of pixel intensity values, improving the performance of algorithms by normalizing the input data. It is essential for ensuring that images with varying lighting conditions or acquisition settings are processed consistently by machine learning models and computer vision applications.