The method of projections onto convex sets can be used to solve many problems in image restoration, eg, restoration from phase, spectral extrapolation, and signal recovery in …
MH An, AK Brodzik, JM Mooney… - … from Incomplete Data, 2000 - spiedigitallibrary.org
Recently, a new approach to hyperspectral imaging, relying on the theory of computed tomography, was proposed by researchers at the Air Force Research Laboratory. The …
H Stark, S Cruze, G Habetler - JOSA, 1982 - opg.optica.org
In an attempt to improve the convergence rates of band-limited image restoration, we derive and apply two algorithms employing nonlinear projections onto closed convex sets. The …
Image reconstruction from incomplete projection data is strongly required in widespread applications of computed tomography. This problem can be formulated as a sinogram …
In many applications of computed tomography, it may not be possible to acquire projection data at all angles, as required by the most commonly used algorithm of convolution …
T Kotzer, N Cohen, J Shamir - Optics Letters, 1995 - opg.optica.org
Image restoration from degraded observations and from properties that the image is supposed to satisfy has been approached by the method of projections onto convex …
P Liu, KB Eom - Optics and Lasers in Engineering, 2013 - Elsevier
In this paper, the restoration of a degraded image with an auxiliary image from another sensor is considered. In a typical multispectral satellite imaging system, multiple images …
In this paper we propose an approach of image restoration from multispectral data provided by an imaging system. We specifically address two topics:(i) Development of a multi …
M Ponti, ES Helou, PJSG Ferreira… - IEEE Journal of …, 2015 - ieeexplore.ieee.org
Images obtained with optical microscopes are often blurred and corrupted by noise. Specially in wide-field microscopy, there is a strong out-of-focus blur in focal plane direction …