Many image reconstruction techniques have been remarkably successful in applications
such as medical imaging, remote sensing, nondestructive testing, and radar. The focus here …

A fundamental inverse problem is the reconstruction of a function from finitely many
measurements pertaining to that function. This problem is central to radar, sonar, optical …

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 …

In reconstructing an object function F (r) from finitely many noisy linear-functional values∫ F
(r) G_n (r) dr we face the problem that finite data, noisy or not, are insufficient to specify F (r) …

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 …

Image recovery constitutes a significant portion of the inverse problems in image processing.
Here, by image recovery we refer to two classes of problems, image restoration and image …

Functional and Statistical Approaches to the Image Restoration Problem ADS Classic is now
deprecated. It will be completely retired in October 2019. This page will automatically redirect to …

A rather large class of problems involving the determination of an object function from
observation is linear-inversion problems for which unique solutions exist but that have the …

Prior Models and the Richardson-Lucy Restoration Method ADS Classic is now deprecated. It
will be completely retired in October 2019. This page will automatically redirect to the new ADS …

The problem of image restoration refers to finding an estimate of the ideal image from its
blurred and noisy rendition. On the other hand, image reconstruction refers to the problem of …