The latest developments in optical imageprocessing for security, compression and cryptography require parallel real time processing and multiplexing. In this paper, we propose the application of the well-know "c...
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ISBN:
(纸本)9780819487933
The latest developments in optical imageprocessing for security, compression and cryptography require parallel real time processing and multiplexing. In this paper, we propose the application of the well-know "coherence modulation of light" technique for real-time encoding and decoding of signals which can be useful for optical imageprocessing. This method uses the coherence properties of broadband sources for encoding signals onto light beams. One major asset of this approach, compared to other conventional optical modulation methods, is an original multiplex coding of several signals through a single light beam. We achieve simultaneous real-time all optical imageprocessing of analog two-dimensional signals and suggest a set of new criteria, based on mean square error, signal to noise ratio and peak to peak signal to noise, to improve the quality of the decoding image as function of the optical path difference and the coherence length of the source.
The proceedings contain 28 papers. The topics discussed include: using a commercial graphical processing unit and the CUDA programming language to accelerate scientific imageprocessing applications;automatic distribu...
ISBN:
(纸本)9780819484093
The proceedings contain 28 papers. The topics discussed include: using a commercial graphical processing unit and the CUDA programming language to accelerate scientific imageprocessing applications;automatic distribution of vision-tasks on computing clusters;highly scalable digital front end architectures for digital printing;parallel training and testing methods for complex imageprocessing algorithms on distributed, heterogeneous, unreliable, and non-dedicated resources;integrated parallel printing systems with hypermodular architecture;parallelprocessing considerations for image recognition tasks;GPGPU real-time texture analysis framework;a novel parallel algorithm for airport runway segmentation in satellite images using priority directional region growing strategy based on ensemble learning;visualization assisted by parallelprocessing;and a parallel impulse-noise detection algorithm based on ensemble learning for switching median filters.
Stencil calculations comprise an important class of kernels in many scientific computing applications ranging from simple PDE solvers to constituent kernels in multigrid methods as well as imageprocessing application...
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During the present decade, emerging architectures like multicore CPUs and graphics processing units (GPUs) have steadily gained popularity for their ability to deploy high computational power at a low cost. In this pa...
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This 4-Volume-Set, CCIS 0251 - CCIS 0254, constitutes the refereed proceedings of the International Conference on Informatics Engineering and Information Science, ICIEIS 2011, held in Kuala Lumpur, Malaysia, in Novemb...
ISBN:
(数字)9783642254833
ISBN:
(纸本)9783642254826
This 4-Volume-Set, CCIS 0251 - CCIS 0254, constitutes the refereed proceedings of the International Conference on Informatics Engineering and Information Science, ICIEIS 2011, held in Kuala Lumpur, Malaysia, in November 2011. The 210 revised full papers presented together with invited papers in the 4 volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on e-learning, information security, software engineering, imageprocessing, algorithms, artificial intelligence and soft computing, e-commerce, data mining, neural networks, social networks, grid computing, biometric technologies, networks, distributed and parallel computing, wireless networks, information and data management, web applications and software systems, multimedia, ad hoc networks, mobile computing, as well as miscellaneous topics in digital information and communications.
Retinex is one of the well-known schemes for adaptive image enhancement under poor weather conditions. Improving the visibility of input images on a target detection system is necessary to insure detection work proper...
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Purpose: Iterative reconstruction techniques hold great potential to mitigate the effects of data noise and/or incompleteness, and hence can facilitate the patient dose reduction. However, they are not suitable for ro...
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Purpose: Iterative reconstruction techniques hold great potential to mitigate the effects of data noise and/or incompleteness, and hence can facilitate the patient dose reduction. However, they are not suitable for routine clinical practice due to their long reconstruction times. In this work, the authors accelerated the computations by fully taking advantage of the highly parallel computational power on single and multiple graphics processing units (GPUs). In particular, the forward projection algorithm, which is not included in the close-form formulas, will be accelerated and optimized by using GPU here. methods: The main contribution is a novel forward projection algorithm that uses multithreads to handle the computations associated with a bunch of adjacent rays simultaneously. The proposed algorithm is free of divergence and bank conflict on GPU, and benefits from data locality and data reuse. It achieves the efficiency particularly by (i) employing a tiled algorithm with three-level parallelization, (ii) optimizing thread block size, (iii) maximizing data reuse on constant memory and shared memory, and (iv) exploiting built-in texture memory interpolation capability to increase efficiency. In addition, to accelerate the iterative algorithms and the Feldkamp-Davis-Kress (FDK) algorithm on GPU, the authors apply batched fast Fourier transform (FFT) to expedite filtering process in FDK and utilize projection bundling parallelism during backprojection to shorten the execution times in FDK and the expectation-maximization (EM). Results: Numerical experiments conducted on an NVIDIA Tesla C1060 GPU demonstrated the superiority of the proposed algorithms in computational time saving. The forward projection, filtering, and backprojection times for generating a volume image of 512 x 512 x 512 with 360 projection data of 512 x 512 using one GPU are about 4.13, 0.65, and 2.47 s (including distance weighting), respectively. In particular, the proposed forward projection alg
The main aim of this work is to show, how GPGPUs can facilitate certain type of imageprocessingmethods. The software used in this paper is used to detect special tissue part, the nuclei on (HE - hematoxilin eosin) s...
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