Publisher Summary Image recovery is a broad discipline that encompasses the large body
of inverse problems, in which an image h is to be inferred from the observation of data x …

Image Recovery: Theory and Application focuses on signal recovery and synthesis
problems. This book discusses the concepts of image recovery, including regularization, the …

There exists a large variety of image reconstruction methods proposed by different authors
(see eg Pratt (1978), Rosenfeld and Kak (1982), Marr (1982)). Selection of an appropriate …

Developments in the theory of image reconstruction and restoration over the past 20 or 30
years are outlined. Particular attention is paid to common estimation structures and to …

We introduce a new convex constraint for image recovery using the method of projection
onto convex sets. The set of least-squares solutions to the image-recovery problem is shown …

Several aspects of the application of regularization theory in image restoration are
presented. This is accomplished by extending the applicability of the stabilizing functional …

Some time ago we published a paper [1] in which it was suggested that many problems of
image restoration are probably geometric in character and admit the following initial linear …

The article introduces digital image restoration to the reader who is just beginning in this
field, and provides a review and analysis for the reader who may already be well-versed in …

One of the most intriguing questions in image processing is the problem of recovering the
desired or perfect image from a degraded version. In many instances one has the feeling …

The linear image restoration problem is to recover an original brightness distribution X/sup
0/given the blurred and noisy observations Y= KX/sup 0/+ B, where K and B represent the …