image = image * np.array([0.229, 0.224, 0.225]) + np.array([0.485, 0.456, 0.406])

This code is performing an element-wise multiplication of the input image with two arrays, [0.229, 0.224, 0.225] and [0.485, 0.456, 0.406].

The first array is used to normalize the image by subtracting the mean of the ImageNet dataset, which is approximately [0.485, 0.456, 0.406]. The second array is used to standardize the image by dividing it by the standard deviation of the ImageNet dataset, which is approximately [0.229, 0.224, 0.225].

This normalization and standardization process is commonly used in deep learning models to ensure that the input data has zero mean and unit variance, which helps the model to converge faster and achieve better performance.