Results 291 to 300 of about 505,001 (337)

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.
Z.J. Koles, Thomas R. Overton, S. Rathee
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Image restoration on mammography images

2016 International Conference on Computing, Communication and Automation (ICCCA), 2016
Medical images like ultrasound images, X-ray images and mammographic images of widespread use in the detection of numerous diseases. But these images are not free from noise and may be blurred due to some known or unknown factors. To remove noise and blur from such images we need various restoration techniques.
Pallavi M. Goel, Rajesh Kochher, Anshu Oberoi   +2 more
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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 Nagai, T A Iinuma
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Colorimetric restoration of digital images

IEEE Transactions on Image Processing, 2001
A colorimetric approach to restoration of digital images is presented. Assumptions are made to simplify the general problem to obtain a more computable form. Two methods are developed, using Karhunen-Loeve transformation and independent restoration schemes from earlier works, to solve the estimation problem in color image processing using ...
H. Altunbasak, H.J. Trussell
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An image restoration by fusion

Pattern Recognition, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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.
Philippe Dumee, Pierre Peronneau, J.P. Guglielmi, Alain Herment, Ph. Delouche   +4 more
openaire   +3 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.
Leonard M. Silverman, Jean-Francois Abramatic   +1 more
openaire   +4 more sources

Digital restoration of multi-channel images

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1989
The Wiener solution of a multichannel restoration scheme is presented. Using matrix diagonalization and block-Toeplitz to block-circulant approximation, the inversion of the multichannel, linear space-invariant imaging system becomes feasible by utilizing a fast iterative matrix inversion procedure. The restoration uses both the within-channel (spatial)
Galatsanos, Nikolas P, Chin, Roland T
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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.
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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.
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