Results 251 to 260 of about 2,119,252 (298)
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Algorithm of Hair Restoration Surgery in Children
Plastic and Reconstructive Surgery, 2003Hair is an inseparable element of external appearance of every human being. Although various fashion trends come and go, the lack of hair is for many a major aesthetic and psychological problem. Even if men's balding can be accepted as a natural phenomenon, hair loss in children is considered to be a condition demanding correction.
Jerzy, Kolasiñski, Małgorzata, Kolenda
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FAIR: A Fast Algorithm for Document Image Restoration [PDF]
We present, in this paper, the FAIR algorithm: a fast algorithm for document image restoration. This algorithm has been submitted to different contests where it showed good performance in comparison to the state of the art. In addition, this method is scale invariant and fast enough to be used in real-time applications.
Thibault Lelore
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An Adaptive Norm Algorithm for Image Restoration
2012We propose an adaptive norm strategy designed for the re-storation of images contaminated by blur and noise. Standard Tikhonov regularization can give good results with Gaussian noise and smooth images, but can over-smooth the output. On the other hand, L1 -TV (Total Variation) regularization has superior performance with some non-Gaussian noise and ...
BERTACCINI, DANIELE +3 more
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Direct algorithm for digital image restoration
Applied Optics, 1981In this paper we report some experimental results of a direct algorithm for the solution of digital image restoration problems. The solution is obtained directly from the system of linear equations that result from the discretization of the Fredholm integral equation of the first kind.
Abdelmalek, Nabih N. +3 more
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Algorithms for Restoration Planning in a Telecommunications Network
1999One of the major tasks of telecommunications network planners is deciding where and how much spare capacity to build so that disrupted traffic may be rerouted in the event of a network failure. This paper presents an experimental study comparing two techniques for restoration capacity planning.
Sebastian Cwilich +4 more
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A regularized iterative image restoration algorithm
IEEE Transactions on Signal Processing, 1991The development of the algorithm is based on a set theoretic approach to regularization. Deterministic and/or statistical information about the undistorted image and statistical information about the noise are directly incorporated into the iterative procedure. The restored image is the center of an ellipsoid bounding the intersection of two ellipsoids.
Aggelos K. Katsaggelos +3 more
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Approximation Algorithms for Restoration Capacity Planning
1999Amajor task of telecommunication network planners is deciding where spare capacity is needed, and howmuch, so that interrupted traffic may be rerouted in the event of a failure. Planning the spare capacity so as to minimize cost is an NP-hard problem, and for large networks, even the linear relaxation is too large to be solved with existing methods ...
Steven J. Phillips, Jeffery R. Westbrook
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Planning Habitat Restoration with Genetic Algorithms
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 2016Conservation is an ethic of sustainable use of natural resources which focuses on the preservation of biodiversity. The term conservation planning encompasses the set of activities, typically carried out by conservation managers, that contribute to the attainment of this goal. Such activities can be preventive, such as the establishment of conservation
Jana Brotánková +2 more
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Acceleration of iterative image restoration algorithms
Applied Optics, 1997A new technique for the acceleration of iterative image restoration algorithms is proposed. The method is based on the principles of vector extrapolation and does not require the minimization of a cost function. The algorithm is derived and its performance illustrated with Richardson-Lucy (R-L) and maximum entropy (ME) deconvolution algorithms and the ...
D S, Biggs, M, Andrews
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A Class of Iterative Signal Restoration Algorithms
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1990A class of iterative signal restoration algorithms is derived based on a representation theorem for the generalized inverse of a matrix. These algorithms exhibit a first or higher order of convergence, and some of them consist of an online and an offline computational part.
A K Katsaggelos
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