## Deblurring Demos for BBTools

Deblurring is a classical ill-conditioned problem. The demos here show
how BBTools can be used for such problems in quite general cases.

The demos shows a typical order of problem-solving with BBTools:

- Create a model of the problem
- Solve the problem in a noiseless scenario
- Estimate a solution in the presence of noise

We feel that the ratio of the time spent modelling the problem
and solving it is a good measure of the quality of the tools at hand.

**Note:** deblurring is so important that a number
of specialized algorithms have been developed. Some of these are available
from the image processing toolbox from Mathworks. BBTools will not usually be
competitive for problems that benefits from the attention of an entire field
of research.

Nevertheless, we feel that image deblurring is a good for illustration
of the capabilities of BBTools. Also, it demonstrates how easy it is to work
with black-box operators. Finally, no discussion of iterative solvers would be
complete without including an example of image deblurring.