Normalize Image

Implement a function to normalize image pixel values to the range [0, 1]. Normalization is a crucial preprocessing step in Computer Vision that scales the intensity values of an image to a common range, which helps in reducing the impact of illumination changes and improving the robustness of subsequent processing tasks. The normalization process involves shifting and scaling the original pixel values $I$ using the minimum $I_{min}$ and maximum $I_{max}$ values in the image. Here are the steps to achieve this:

1. Find the minimum and maximum pixel values in the image.
2. Apply the normalization formula to each pixel value. The key formula for normalization is $I_{norm} = \frac{I - I_{min}}{I_{max} - I_{min}}$ This technique is widely used in image processing pipelines.