Mean absolute error
Cost functions and objective functions output a single value that summarizes how well two images match.
The mean absolute error (MAE), for example, summarizes intensity differences between two images, with higher values indicating greater divergence.
For this exercise, calculate the mean absolute error between im1 and im2 step-by-step.
This exercise is part of the course
Biomedical Image Analysis in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate image difference
err = ____
# Plot the difference
____
format_and_render_plot()