Results 241 to 250 of about 1,785,585 (297)
Development of Micro-CT-Based Anatomically Accurate Tooth Model for Finite Element Analysis of Composite Restorations. [PDF]
Tarjányi T +5 more
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The gut microbiome and mitochondrial function in metabolism, immunity, and disease. [PDF]
Han EJ, Kim DH, Lee JJ, Chung HJ.
europepmc +1 more source
Immune checkpoint crosstalk between LAG-3 and CD39/CD73 in glioblastoma: dual-pathway regulation of metabolic exhaustion and therapeutic reversal strategies. [PDF]
Mukherjee A.
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A parallel primal-dual splitting method for image restoration
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Xuelong Li, Chuan He
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Parallel image restoration on parallel and distributed computers
Parallel Computing, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alessandro Bevilacqua
exaly +4 more sources
Study on Epipolar Geometry Restoration of Parallel Binocular Vision
The epipolar geometry restoration offline and online for the parallel binocular vision system were discussed in this paper. For the former, a method that uses a common calibration board to realize automatic and accurate matching of the image corner pairs was developed; for the latter, a connotative constraint was proved by geometry theory and the ...
Hongwei Gao 0002 +2 more
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Image restoration by parallel processing
ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Digital processing can be used to restore an image which has been blurred and/or corrupted by noise. This is a very slow process when implemented on a general purpose computer, especially for non-homogeneous problems, where FFT methods cannot be used. This paper describes an algorithm and a processor architecture for restoring an image in parallel, one
Steven G. Kratzer, Anthony P. Reeves
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Massively parallel image restoration
1990 IJCNN International Joint Conference on Neural Networks, 1990An image restoration model that performs piecewise-constant restorations on images corrupted with very high noise levels is presented. The model uses a sigmoid nonlinearity at each pixel site to produce a restoration with sharp boundaries without using an explicit line process. The restoration is produced efficiently using a stochastic search procedure
Murali M. Menon, William M. Wells III
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