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检索条件"任意字段=Parallel and Distributed Methods for Image Processing II"

共 1253 条记录，以下是931-940 订阅

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Transform-based image compression by noise reduction and spatial modification using Boolean minimization

Transform-based image compression by noise reduction and spa...

引用

IEEE Workshop on Statistical Signal processing, SSP 2003

作者： Agauan, S.S. Baran, T.A. Panetta, K.A. University of Texas at San Antonio Electrical Engineering 6900 Noah Loop San AntonioTX78249-0665 United States Tufts University Electrical and Computer Engineering 161 College Avenue MedfordMA02155 United States

ISBN: (纸本)0780379977

A method for the lossy compression of multivalued images using transform-based Boolean minimization is described. Blocks in bit-planes of an image are minimized, and the results of these minimizations are used to detect and reduce noise (sandy regions) and spatial complexity in the blocks. Specifically, the techniques of "minterm uniformalization" and "minterm quantization and thresholding" are presented as methods of discarding perceptually insignificant information from a minimized representation of an image and use data readily available from minimization without the calculation of complicated measures. Experimentally, results comparable to JPEG and better than existing binary techniques can be expected. Fast algorithms may be used, no multiplications are required, and decompression is performed without an inverse transform. Therefore, an emphasis is placed on the use of these algorithms for low-complexity or very high-speed hardware implementations for communications, for distributed and parallel sensor and computing applications, as well as for database storage. © 2003 IEEE.

关键词： image coding

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Proceedings International parallel and distributed processing Symposium

Proceedings International Parallel and Distributed Processin...

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International Symposium on parallel and distributed processing (IPDPS)

The following topics are dealt with: Grid and distributed computing; scheduling task systems; shared-memory multiprocessors; imaging and visualization; testing and debugging; performance analysis and real-time systems; scheduling for heterogeneous resources; networking; peer-to-peer and mobile computing; compiler technology and run-time systems; load balancing; network routing; parallel programming models; parallel algorithms; scheduling and storage; parallel and distributed performance; software for high performance clusters; decentralized algorithms; multithreading and VLIW; parallel and distributed real-time systems; high-level parallel programming models and supportive environments; Java for parallel and distributed computing; nature inspired distributed computing; high performance computational biology; advances in parallel and distributed computational models; reconfigurable architectures; communication architecture for clusters; next generation systems; fault-tolerant parallel and distributed systems; wireless, mobile and ad hoc networks; parallel and distributed image processing, video processing, and multimedia; formal methods for parallel programming; Internet computing and e-commerce; parallel and distributed scientific and engineering computing with applications; massively parallel processing; performance modeling, evaluation, and optimization of parallel and distributed systems; and parallel and distributed systems: testing and debugging.

关键词： Processor scheduling Shared memory systems Software debugging Software testing Real time systems Program compilers Resource management parallel programming parallel algorithms Memory management parallel architectures Biomedical computing Reconfigurable architectures Computer fault tolerance Video signal processing image processing Software requirements and specifications Multimedia computing Internet

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parallel detection of regulatory elements with gMP

Parallel detection of regulatory elements with gMP

引用

International Symposium on parallel and distributed processing (IPDPS)

作者： B. Schmidt Lin Feng A. Laud Y. Santoso School of Computer Engineering Nanyang Technological University Singapore Helixense Private Limited Singapore

The detection of regulatory elements from a large set of regulatory regions is a challenging problem in computational genomics. However, computational methods to extract this biologically meaningful information suffer from high computational requirements. In this paper we present a parallel algorithm to detect regulatory elements using correlation with gene expression data and its implementation with gMP. gMP is a new purely Java-based interface that adds MPI-like message-passing and collective communication to the genomics Research Network Architecture (gRNA). The parallel implementation leads to significant runtime savings on our distributed gRNA system.

关键词： Bioinformatics Genomics Biology computing Gene expression distributed processing image analysis image sequence analysis Displays Java Computer architecture

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Iso-splatting: A point-based alternative to isosurface visualization 11

Iso-splatting: A point-based alternative to isosurface visua...

引用

11th Pacific Conference on Computer Graphics and Applications

作者： Co, CS Hamann, B Joy, KI Univ Calif Davis Dept Comp Sci CIPIC Davis CA 95616 USA

ISBN: (纸本)0769520286

We present a new approach to isosurface visualization that we call "iso-splatting." We use point primitives for representing and rendering isosurfaces. The method consists of two steps. In the first step, point samples are generated throughout the volumetric domain of a scalar function. In the second step, these points are projected onto the isosurface of interest. We render the resulting point set using a surface splatting algorithm. The method can be extended to out-of-core or parallel environments. Our results show that this method can offer much greater time and space efficiency when compared with standard triangle-based methods, thereby supporting higher levels of interactivity. Parts of the algorithm can be accelerated using graphics hardware. One key advantage of this approach is that, since extraction computations are divided into two smaller phases, work can be distributed to exploit all available resources.

关键词： Acceleration Computational geometry Computer science Fuels Graphics Hardware image processing Isosurfaces Rendering (computer graphics) Visualization

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MedIGrid: a medical imaging application for computational Grids

MedIGrid: a medical imaging application for computational Gr...

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International Symposium on parallel and distributed processing (IPDPS)

作者： M. Bertero P. Bonetto L. Carracciuolo L. D'Amore A. Formiconi M.R. Guarracino G. Laccetti A. Murli G. Oliva Department of Computer and Information Science University of Genoa Italy Institute for High Performance Computing and Networking CNR Naples Italy Department of Mathematics and Applications University of Napoli Federico II Italy Department of Clinical Phisiopatology University of Florence Italy

In the last decades, diagnosing medical images has heavily relied on digital imaging. As a consequence, huge amounts of data produced by modern medical instruments need to be processed, organized, and visualized in a suitable response time. Many efforts have been devoted to the development of digital Picture Archiving and Communications Systems (PACS) which archive and distribute image information across a hospital and provide Web access to avoid the expensive deployment of a large number of such systems. On the other hand, this approach does not solve problems related to the increasing demand of high performance computing and storage facilities, which cannot be placed within a hospital. In this work we describe MedIGrid, an application that enables nuclear doctors to transparently use high performance computers and storage systems for the PET/SPECT (Positron Emission Tomography/Single Photon Emission Computed Tomography) image processing, management, visualization and analysis. MedIGrid is the result of the joint efforts of a group of researchers committed to the development of a distributed application to test and deploy new reconstruction methods in clinical environments. The outcomes of this work include a set of platform independent software tools to read medical images, control the execution of computing intensive tomographic algorithms, and explore the reconstructed tomographic volumes. In the paper we describe how the collaboration among different research groups has contributed to the integration of the application into a single framework. The results of our work are discussed.

关键词： Biomedical imaging Computer applications Grid computing Medical diagnostic imaging Application software Picture archiving and communication systems Hospitals High performance computing image storage Positron emission tomography

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A divided-screenwise hierarchical compositing for sort-last parallel volume rendering

A divided-screenwise hierarchical compositing for sort-last ...

引用

International Symposium on parallel and distributed processing (IPDPS)

作者： F. Ino T. Sasaki A. Takeuchi K. Hagihara Graduate School of Information Science and Technology Osaka University Japan Graduate School of Engineering Science Osaka University Japan Toyota Motor Corporation Japan

In this work, to render at least 512/sup 3/ voxel volumes in real-time, we have developed a sort-last parallel volume rendering method for distributed memory multiprocessors. Our sort-last method consists of two methods, Hsu's (1993) segmented ray casting and our divided-screenwise hierarchical (DSH) compositing, in which each processor produces a subimage and merges all the produced subimages into the final image. This paper describes the DSH method, which aims at achieving high performance compositing on a large number of processors. Our implementation on a 64-node PC cluster can composite a 512/sup 2/ pixel image about twice as fast as an existing method, the binary-swap method, so that can render a 512/spl times/512/spl times/224 voxel volume at approximately eight frames per second (fps).

关键词： Rendering (computer graphics) Casting image segmentation Visualization X-ray imaging Computed tomography High performance computing Information science Pixel Biomedical imaging

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High performance missing data detection and interpolation for video compression and restoration applications

High performance missing data detection and interpolation fo...

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International Symposium on parallel and distributed processing (IPDPS)

作者： M. Ceccarelli G. Laccetti A. Petrosino University of Sannio Benevento Italy DMA Naples Italy ICAR-CNR Naples Italy

In this paper, we explore the use of motion estimation methods to restore noisy motion pictures coming from degraded film within the framework of high-performance computing environments. Specifically, we investigate how the use of block-matching methods can outperform gradient-based methods (which are more sensible to little movements) also in the case of blotch detection in degraded film. Also, we show how a proposed method characterized by the use of a set of features together with multiresolution can be at the same time robust to noise and effective in motion compensated filtering, mainly concerning films that contain both large amounts of noise and fast/large motion objects in their frames. The peculiarities of the method are discussed and the model performance is assessed and compared with examples.

关键词： Interpolation Video compression image restoration Motion pictures Degradation Forward error correction Signal restoration Motion detection Motion estimation Working environment noise

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A general framework for searching in distributed data repositories

A general framework for searching in distributed data reposi...

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International Symposium on parallel and distributed processing (IPDPS)

作者： S. Bakiras P. Kalnis T. Loukopoulos Wee Siong Ng Department of Electrical & Electronic Engineering University of Hong Kong Hong Kong China School of Computing National University of Singapore Singapore Department of Computer Science Hong Kong University of Science and Technology Hong Kong China

This paper proposes a general framework for searching large distributed repositories. Examples of such repositories include sites with music/video content, distributed digital libraries, distributed caching systems, etc. The framework is based on the concept of neighborhood; each client keeps a list of the most beneficial sites according to past experience, which are visited first when the client searches for some particular content. Exploration methods continuously update the neighborhoods in order to follow changes in access patterns. Depending on the application, several variations of search and exploration processes are proposed. Experimental evaluation demonstrates the benefits of the framework in different scenarios.

关键词： Peer to peer computing Network servers distributed computing Drives Computer science Software libraries Internet Publishing image databases Video sharing

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parallel algorithm based on a frequential decomposition for dynamic 3D computed tomography

Parallel algorithm based on a frequential decomposition for ...

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International Symposium on parallel and distributed processing (IPDPS)

作者： T. Rodet L. Desbat P. Grangeat IAB Faculté de médecine UJF TIMC-IMAG UMR CNRS 5525 La Tronche France LETI-DSIS-DRT-CEA Grenoble France

We present a tomographic reconstruction algorithm based on a frequential decomposition of the data. We show that the frequential components of the attenuation function to be identified can be reconstructed from the frequential decomposition of the data. Moreover, downsampling techniques added to the identification of null components and coupled to compression techniques, speed up the reconstruction time up to six compared to the classical FBP. We identify the optimal number of frequential components. We show reconstructions from real data. A parallel implementation of our new algorithm is then proposed and evaluated on two small PC clusters.

关键词： parallel algorithms Computed tomography Fourier transforms image reconstruction Surgery Reconstruction algorithms Attenuation Content addressable storage Filters Sampling methods

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Several parallel algorithms for solving nonlinear systems with symmetric and positive definite Jacobians

Several parallel algorithms for solving nonlinear systems wi...

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International Symposium on parallel and distributed processing (IPDPS)

作者： J. Peinado A.M. Vidal Departamento de Sistemas Informáticos y Computación Universidad Politécnica de Valencia Valencia Spain

In this work we describe two sequential algorithms and their parallel counterparts for solving nonlinear systems, when the Jacobian matrix is symmetric and positive definite. This case appears frequently in unconstrained optimization problems. Both algorithms are based on Newton's method. The first solves the inner iteration with Cholesky decomposition while the second is based on the inexact Newton methods family, where a preconditioned CG method has been used for solving the linear inner iteration. In this latter case and to control the inner iteration as far as possible and avoid the oversolving problem, we also parallelized several forcing term criteria and used parallel preconditioning techniques. We implemented the parallel algorithms using the SCALAPACK library. Experimental results have been obtained using a cluster of Pentium ii PC connected through a Myrinet network. To test our algorithms we used four different problems. The algorithms show good scalability in most cases.

关键词： parallel algorithms Nonlinear systems Jacobian matrices Clustering algorithms Libraries Large-scale systems Character generation Testing Iterative algorithms Newton method

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