Results 261 to 270 of about 153,211 (306)

Binary‐image restoration

Canadian Journal of Statistics, 1994
AbstractWe consider the problem of binary‐image restoration. The image being restored is not random, and we make no assumption about the nature of its contents. The estimate of the colour at each site is a fixed (the same for all sites) function of the data available in a neighbourhood of that site.
Meloche, J., Zamar, R. H.
openaire   +1 more source

On multiresolution image restoration

Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), 2002
This paper argues that the correct way to use a multiresolution approach to image restoration is to coarsen the posterior distribution of the image via the renormalization group transformation (RGT). It summarises the main results on RGT and points out the difficulties with it.
G. Nicholls, Maria Petrou
openaire   +1 more source

Image restoration in computed tomography: restoration of experimental CT images

IEEE Transactions on Medical Imaging, 1992
It is pointed out that to restore experimental computed tomography (CT) images which have been blurred by a spatially variant point spread function (PSF), a quadrant symmetry method which simultaneously optimizes storage requirements for the estimated PSFs and computational speed is used.
Satyapal Rathee, Zoly J. Koles, Thomas R. Overton   +2 more
openaire   +2 more sources

Nonlinear Restoration of Noisy Images

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982
The restoration of images degraded by an additive white noise is performed by nonlinearly filtering a noisy image. The standard Wiener approach to this problem is modified to take into account the edge information of the image. Various filters of increasing complexity are derived.
Jean-François Abramatic, Leonard M. Silverman   +1 more
openaire   +3 more sources

An image restoration by fusion

Pattern Recognition, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Contribution to Image and Contours Restoration

Real-Time Imaging, 2001
Summary: Digital images are generally degraded by different sources during their acquisition. This is due of two types of phenomena: the deterministic phenomenon of blur which is introduced by relative motion between a camera and the object, and the stochastic phenomena such as atmospheric turbulence, noise and other factors.
Achour, K., Zenati, N., Laga, H.
openaire   +2 more sources

Image restoration in radioisotopic imaging systems

Physics in Medicine & Biology, 1967
In radioisotope image visualization, the final image must be interpreted by the human visual system. However, an inherent blurring of the image limits the amount of useful information which can be extracted from it. Attempts have been made to restore the image by compensating for the degradation.
T A, Iinuma, T, Nagai
openaire   +2 more sources

Limitations of ultrasound imaging and image restoration

Ultrasonics, 1987
The definition of medical ultrasound images is strongly limited by the need for low examination frequencies which is imposed by the high attenuation of acoustic waves in tissues. The filtering effect of imaging systems is described and quantified for echography, transmission tomography and reflection tomography.
A, Herment, J P, Guglielmi, P, Dumee, P, Peronneau, P, Delouche   +4 more
openaire   +2 more sources

WAVELET-CONSTRAINED IMAGE RESTORATION

International Journal of Wavelets, Multiresolution and Information Processing, 2004
Image restoration problems can naturally be cast as constrained convex programming problems in which the constraints arise from a priori information and the observation of signals physically related to the image to be recovered. In this paper, the focus is placed on the construction of constraints based on wavelet representations.
Patrick L. Combettes, Jean-Christophe Pesquet   +1 more
openaire   +3 more sources

Image Restoration: Fundamentals of Image Restoration

2014
Abstract Image restoration is the process of recovering an image from a degraded version—usually a blurred and noisy image. Image restoration is a fundamental problem in image processing, and it also provides a testbed for more general inverse problems.
openaire   +1 more source