Prior Knowledge and Object Reconstruction Using the Best Linear Estimate Technique

Prior knowledge and image data are combined to produce an object reconstruction, using the best-linear-estimate technique. It is shown how this technique is related to the minimum norm method and the singular function method. How prior knowledge influences the object reconstruction is examined in detail. The concentration of image degrees of freedom to produce a resolution enhancement in the object reconstruction is demonstrated for suitable types of prior knowledge.