Inverse Filter Solution

  
Figure 2: An inverse filtering solution for image restoration.

Fig. 2 shows an inverse filtering solution for image restoration where

The resulting restoration is the original solution plus inverse filtered noise.

Disadvantages:

1. Noise is amplified at nulls of
2. Inverse filter may not exist
3. Inverse filter may be difficult to build
4. Properties of x(m,n) are not used