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

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LIFTING FACTORIZATION BASED ON BLOCK parallel SYSTEM OF M-CHANNEL PERFECT RECONSTRUCTION FILTER BANKS

LIFTING FACTORIZATION BASED ON BLOCK PARALLEL SYSTEM OF M-CH...

引用

European signal processing conference

作者： Taizo Suzuki Masaaki Ihehara Department of Electronics and Electrical Engineering Keio University Yokohama Kanagawa 223-8522 Japan

ISBN: (纸本)9781617388767

Several lifting-based filter banks (LBFBs) are proposed for lossless-to-lossy image coding. However, the conventional methods can not achieve good coding performance due to many rounding operations, and they may have wide dynamic range of lifting coefficients due to inverse matrix. This paper presents a more practical lifting factorization of M-channel perfect reconstruction filter bank (PRFB). Using the block parallel system of PRFBs with an imposed condition, we can factorize them into a novel lifting structure which is called the parallel lifting. The validity of our structures is shown by applying them to lossless-to-lossy image coding.

关键词： perfect reconstruction filter bank (PRFB) block parallel system parallel lifting lossless-to-lossy image coding. lift wide dynamic range factorization lifts Canal Conventional Method image coding parallel system

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Multiple Transform Selection concept modeling and implementation using Interface Based SDF graphs 21

Multiple Transform Selection concept modeling and implementa...

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14th Workshop on Design and Architectures for Signal and image processing, DASIP 2021, held jointly with the 16th HiPEAC conference

作者： Haggui, Naouel Belghith, Fatma Hamidouche, Wassim Masmoudi, Nouri Nezan, Jean-François Ietr Laboratory Insa Rennes France National School of Engineering of Sfax Tunisia

ISBN: (纸本)9781450389013

Recent studies predict that video data accounts for 82% of Internet traffic by 2022. This fact has motivated MPEG to define a new Video Coding Standard called Versatile Video Coding (VVC), which will be released by the end of 2020. VVC will offer the possibility to handle new video formats and to improve significantly video compression over its predecessor HEVC. Indeed, the objective is to reduce the necessary bit rate by half, at equivalent quality. These advances require the use of more complex algorithms, although the increase in complexity has been limited throughout the standardization process. In order to decrease the complexity of VVC and consequently the coding execution time, several methods have been introduced at different stages of the encoder. The aim of this paper is to explore the available parallelism of VVC to accelerate the coding and the decoding processes. This paper focuses on the transformation block and more specifically the new concept of Multiple Transform Selection (MTS) introduced by VVC. Moreover, a study of several granularity levels of Interface-Based Synchronous Dataflow (IBSDF) models and their impact on the performances obtained on x86 architectures is presented. IBSDF dataflow graph has been developed to reveal the available parallelism of MTS. The PREESM fast prototyping tool is then used for the mapping and the scheduling of MTS on virtual and real parallel architectures and for generating efficient parallel implementations on real architectures. PREESM has been used in this work to explore the potential parallelism offered by MTS and to prove the efficiency of MTS on multicore x86 architectures. Experimental results show a speed-up close to the optimum. © 2021 ACM.

关键词： Video signal processing

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Research and Performance Analysis on parallel Computing of Remote Sensing image based on MPICH

Research and Performance Analysis on Parallel Computing of R...

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2013 International conference on Sport Material,Modelling and Simulation(ICSMMS 2013)

作者： LI Jun MA Weifeng Zhejiang Changzheng Professional and Technical College School of Information and Electronic Engineering Zhejiang University of Science and Technology

The traditional centralized single mode becomes a "bottleneck" of remote sensing image processing which cannot meet the needs of future remote sensing image processing development. Fortunately, the distributed parallel computing has provided a turning point to the quick calculation of remote sensing image. This paper presents the cluster computing environment based on the MPI, and advances a project of a parallelized design to the gray level co-occurrence matrix algorithm. Moreover, the experimental data, which is due to the parallelized algorithm running in the cluster, is recorded and analyzed in several respects such as different nodes, time, speedup, efficiency and so on. The analyzed result shows that parallel computing cluster based on MPICH can efficiently improve the speed of remote sensing image processing in the case of more complex algorithms. However, when the number of node increases, the consuming time decreases, and the efficiency will decrease at the same time. So, it is rather important to keep the balance between performance and efficiency. The nodes can not be continuously added into computing, when the consuming time can be accepted.

关键词： Mpich parallel computing Remote sensing image processing

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Biomedical Informatics and Technology 1

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丛书名： Communications in Computer and Information Science

1000年

作者： Tuan D. Pham Kazuhisha Ichikawa Mayumi Oyama-Higa Danny Coomans Xiaoyi Jiang

ISBN: (数字)9783642541216

ISBN: (纸本)9783642541209

This book constitutes the refereed proceedings of the First International conference on Biomedical Informatics and Technology, ACBIT 2013, held in Aizu-Wakamatsu, Japan, in September 2013. The ??? revised full papers presented together with 14 keynotes and invited talks were carefully reviewed and selected from 48 submissions. The papers address important problems in medicine, biology and health using image analysis, computer vision, pattern analysis and classification, information visualization, signal processing, control theory, information theory, statistical analysis, information fusion, numerical analysis, fractals and chaos, optimization, simulation and modeling, parallel computing, computational intelligence methods, machine learning, data mining, decision support systems, database integration and management, cognitive modeling, and applied linguistics.

关键词： Health Informatics Pattern Recognition image processing and Computer Vision Computer Applications

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Effective and versatile software beamformation toolbox

Effective and versatile software beamformation toolbox

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Medical Imaging 2007 conference

作者： Kortbek, Jacob Nikolov, Svetoslav Jensen, Jorgen Arendt B K Med Mileparken 34 DK-2730 Herlev Denmark Tech Univ Denmark Ctr Fast Ultrasound Imaging Orsted DTU Lyngby Denmark

ISBN: (纸本)9780819466310

Delay-and-sum array beamforming is an essential part of signal processing in ultrasound imaging. Although the principles are simple, there are many implementation details to consider for obtaining a reliable and computational efficient beamforming. Different methods for calculation of time-delays are used for different waveforms. Various inter-sample interpolation schemes such as FIR-filtering, polynomial, and spline interpolation can be chosen. Apodization can be any preferred window function of fixed size applied on the channel signals or it can be dynamic with an expanding and contracting aperture to obtain a preferred constant F-number. An effective and versatile software toolbox for off-line beamformation designed to address all of these issues has been developed. It is capable of exploiting parallelization of computations on a Linux cluster and is written in C++ with a MATLAB (Math Works Inc.) interface. It is an aid to support simulations and experimental investigation of 3D imaging, synthetic aperture imaging, and directional flow estimation. A number of parameters are necessary to fully define the spatial beamforming and some parameters are optional. All spatial specifications are given in 3D space such as the physical positions of the transducer elements during transmit and receive and the positions of the points to beamform. The points of focus are defined as a collection of lines each having an origin, a direction, a distance between points and a length. The transducer, the points to beamform, and the apodization are defined as individual objects and a combination of these define the actual beamforming. Once the beamforming is defined, the time-delays and apodization values for every combination of transmit elements, receive elements and focus points can be calculated and stored in lookup-tables (LUT). Parametric beamforming can also be applied where calculations are done by demand, thus, reducing the storage demand dramatically. On a standard PC with a

关键词： medical ultrasound beamforming toolbox image processing 3D parallel computation

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Local Acceleration in distributed Geographic Information processing with CUDA

Local Acceleration in Distributed Geographic Information Pro...

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The 18th International conference on Geoinformatics(第18届国际地理信息科学与技术大会 Geoinformatics 2010)

作者： Yong Zhao Zhou Huang Bin Chen Yu Fang Menglong Yan Zhenzhen Yang Institute of Remote Sensing and Geographic Information System Peking University Beijing China

ISBN: (纸本)9781424473014

DGIP (distributed Geographic Information processing) has become a new tendency of GIS (Geographic Information System) recently. DGIP focuses on how to organize and process a series of geographic resources in distributed computing environment and now existing research is mainly carried out from a global point of view. But it is noticeable that each computing node in distributed computing environment will carry a heavy load with growth of data quantity. So this paper concentrates on how to make each computing node fulfill the subtask more quickly to achieve efficient local acceleration. The paper designs a prototype for distributed remote sensing image processing and achieves local acceleration in each computing node with CUDA (Compute Unified Device Architecture). Firstly, the paper introduces the distributed procedure of the prototype and overviews the architecture and programming model of CUDA. Then the paper takes Mean Filter as an example to design and implement the parallel program with CUDA to accelerate the procedure of remote sensing image processing in each node. To evaluate the performance of the local acceleration, the paper carries out a group of comparative tests between the parallel implementation with CUDA and the conventional implementation. The results demonstrate that the local acceleration with CUDA runs more than 20 times faster than conventional process.

关键词： local acceleration:DGIP:CUDA:parellel programming

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A unified media presentation method for multimedia information networks

A unified media presentation method for multimedia informati...

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International conference on parallel and distributed Systems (ICPADS)

作者： Y. Shibata N. Seta M. Katsumoto Department of Information and Computer Sciences Toyo University Kawagoe Saitama Japan

Hypermedia systems are very important as platforms in the future multimedia information network services. In order to provide more flexible and sophisticated multimedia presentation, it is desirable to simply and efficiently transmit various media data from the databases distributed over network and present them on the user station depending on scenario so as to semantically integrate into multimedia information objects. In this paper, a new hypermedia system which is based on object-oriented structure to perform two different temporal synchronization methods, "lip synchronization" and "scene synchronization" is introduced. Lip synchronization method performs, fine-grained temporal synchronization between continuous media, such as audio and video. On the other hand in scene synchronization, coarse-grained temporal relation between continuous media and discrete media, such as image, graphics or text is maintained depending on the presentation scenario. Furthermore, several media which are semantically related to each other are unified into a Media Group (MG) to simplify its media treatment. The MGs and their involved processing functions are encapsulated into a Media Object (MO) and easily controlled by message passing procedure. In this paper, implementation of the hypermedia model which performs scene synchronization function between discrete and continuous media in the MOs depending on the presentation scenario, and context switching function between each media presentation is precisely described. Finally "Electric Museum" as a prototype application of hypermedia systems is introduced to evaluate the suggested synchronization mechanism.

关键词： Multimedia databases Layout Multimedia systems distributed databases Object oriented databases Graphics Message passing Object oriented modeling Context modeling Prototypes

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High Performance Global Illumination on Multi-core Architectures

High Performance Global Illumination on Multi-core Architect...

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Euromicro conference on parallel, distributed and Network-Based processing

作者： Emilio J. Padrón Margarita Amor Montserrat Bóo Ramón Doallo Dept. of Electronics and Systems Univ. A Coruña A Coruña Spain Dept. of Electronic and Computer Eng. Univ. Santiago de Compostela Santiago de Compostela Spain

Physically-based illumination is an essential factor for realistic rendering. In this context, hierarchical radiosity is one of the most accurate global illumination methods. One of the key features of the radiosity approach is that it obtains view-independent global illumination results. Unfortunately, global illumination has high computational and memory requirements, and hierarchical radiosity, though more efficient than other radiosity solutions, is not an exception. The progressive popularization of multiprocessor and multi-core processor systems makes the design and implementation of efficient parallel algorithms an appealing alternative in this field. In this paper we present a novel parallel radiosity method addressing the hierarchical radiosity computation on current homogeneous multi-core environments. One of the main contributions of our work is the use of different tasks to exploit the independent interactions among the geometric elements in the scene. Our parallel solution leads to a versatile radiosity implementation that takes advantage of the multiple computational resources in the system, such as multi-core processors and SMT (simultaneous multithreading) capabilities. Good results in terms of performance have been achieved.

关键词： Lighting Concurrent computing Multicore processing Layout Surface-mount technology distributed computing Multithreading Proposals Processor scheduling Computer architecture

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parallel Post-processing Techniques for Fast Radar Cross-Section Computation

Parallel Post-Processing Techniques for Fast Radar Cross-Sec...

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IEEE conference on Electromagnetic Field Computation

作者： A. Ngoly S. McFee Department of Electrical & Computer Engineering McGill University Montreal QUE Canada

parallel processing methods for accelerating radar cross-section (RCS) calculation for general 3D conducting targets are investigated and evaluated. The main focus of this work is to develop methodologies that exploit the use of parallel computing environments during the post-processing phase of general method of moments (MoM) programs used for surface integral equations. The primary objective of this research is to examine the processor requirements incurred when multiple processors are used to solve for an overall RCS in a parallel manner. A secondary goal of this study is to evaluate the solution accuracy of asymptotic waveform evaluation (AWE) based techniques used in conjunction with this parallel post-processing approach. A selection of illustrative and informative computational examples for benchmark RCS targets are solved and compared to direct MoM reference solutions using the CLUMEQ Supercomputing Centre at McGill University

关键词： Radar cross section Concurrent computing parallel processing Integral equations Linear systems Extrapolation Moment methods distributed computing Costs Impedance

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parallel projection methods for set theoretic signal reconstruction and restoration

Parallel projection methods for set theoretic signal reconst...

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1993 IEEE International conference on Acoustics, Speech, and Signal processing

作者： P.L. Combettes H. Puh Department of Electrical Engineering City College and Graduate School City University of New York New York NY USA

An attempt is made to lay a theoretical and computational foundation for the use of parallel projection methods in set-theoretic signal restoration and reconstruction. A general method of parallel projections (MOPP) for solving feasibility problems in Hilbert spaces is proposed. In the proposed scheme, an elementary iteration consists in projecting the current estimate simultaneously onto selected sets and forming a relaxed convex combination of the projections. MOPP is seen to have substantial advantages over the method of successive projections, the widely used serial projection method which it generalizes: straightforward implementation on a parallel computing architecture, an explicit condition on the relaxation coefficients for faster convergence, and convergence to weighted least-squares solutions for inconsistent set-theoretic formulations. Convergence results for this algorithm in the convex and nonconvex cases are presented. Both consistent and inconsistent set-theoretic formulations are considered. Practical issues pertaining to the utilization of the method are discussed.< >

关键词： Signal reconstruction Signal restoration image restoration image reconstruction Cities and towns Educational institutions Projection algorithms Convergence Iterative methods image converters

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