Since each row corresponds to a summation surface, we apply the row normalization to imaging operators implemented as (sum) pull operators. We solve the normalized system:

(3) |

The solution in equ-mod is equivalent
to applying the imaging operator followed by a diagonal
transformation . Therefore, we will refer to this
normalization as model or *image normalization*. Since has the inverse units of , the normalized image is
unit-less.

Given that each row of corresponds to an output bin,
is therefore normalization by the coverage after imaging.
We refer to this coverage as the *imaging fold*, e.g, AMO fold, DMO fold
... etc.

7/5/1998