A color image can be transformed into a grayscale image through grayscale technology, and the color of a grayscale image can be restored through inverse transformation.
Traditional machine learning models have limited model capacity. Therefore, when the feature dimension is large, the performance will be very poor. Therefore, we need to do feature extraction and selection in traditional machine learning projects.