Example: Image Restoration
•
Every pixel is a site.
•
Label is intensity, uncorrupted by noise.
•
Label depends on
observation;
pixel
corrupted by noise.
•
Also depends on other labels.
–
If you see an image with one pixel missing,
you can guess value of missing pixel pretty
well.