Results 211 to 220 of about 130,810 (263)
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Applied Optics, 1975
The projection method of solving a set of linear equations was used to restore linearly degraded images. The advantages of this method are that it always converges, it can readily make use of a priori information about the image, and it does not need excessive computation time.
T S, Huang, D A, Barker, S P, Berger
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The projection method of solving a set of linear equations was used to restore linearly degraded images. The advantages of this method are that it always converges, it can readily make use of a priori information about the image, and it does not need excessive computation time.
T S, Huang, D A, Barker, S P, Berger
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Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
A new iterative processing for image restoration is proposed based on the turbo iterative principle. For this purpose, two uncorrelated component images issued from an original image are differently filtered and the pieces of information extracted from both filters are mutually exchanged in the iterative process.
Hong Sun, Henri Maître, Bao Guan
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A new iterative processing for image restoration is proposed based on the turbo iterative principle. For this purpose, two uncorrelated component images issued from an original image are differently filtered and the pieces of information extracted from both filters are mutually exchanged in the iterative process.
Hong Sun, Henri Maître, Bao Guan
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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.
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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.
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On multiresolution image restoration
Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), 2002This 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
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Image restoration in computed tomography: restoration of experimental CT images
IEEE Transactions on Medical Imaging, 1992It 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 +2 more
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An image restoration by fusion
Pattern Recognition, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Nonlinear Restoration of Noisy Images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982The 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 +1 more
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Image Restoration: Fundamentals of Image Restoration
2014Abstract 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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1994
We analyse a class of random fields invariant by stochastic synchronous updating of all sites, subject to a generalized reversibility assumption. We give a formal definition and properties of the model, study the problem of posterior simulation, parameter estimation, and then present experimental results in image restoration.
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We analyse a class of random fields invariant by stochastic synchronous updating of all sites, subject to a generalized reversibility assumption. We give a formal definition and properties of the model, study the problem of posterior simulation, parameter estimation, and then present experimental results in image restoration.
openaire +1 more source