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Conference on image processing - Algorithms and Systems X and parallel processing for Imaging Applications ii

作者： Ponomarenko, Nikolay N. Lukin, Vladimir V. Zelensky, Alexander A. Egiazarian, Karen O. Astola, Jaakko T. Natl Aerosp Univ UA-61070 Kharkov Ukraine Tampere Univ Technol Tampere Finland

ISBN: (纸本)9780819489425

Color images formed by modern digital cameras are often noisy, especially if they are captured in bad illumination conditions. This makes desirable to remove the noise by image pre-filtering. A specific feature of the noise observed for the considered application is that it can be spatially correlated. Filters to be applied have to effectively suppress noise introducing only negligible distortions into processed images. Moreover, such filters have to be fast enough and tested for a variety of natural images and noise properties. Another specific requirement is that a visual quality of processed images has to be paid a specific attention. To carry out intensive testing of some denoising approaches, a recently designed database TID2008 of distorted images provides a good opportunity since it contains 25 different images corrupted by i.i.d. and spatially correlated noise with several levels of variances. Taking into account the known fact that the color components are highly correlated, both modern 2D (component-wise) and 3D (vector) filtering techniques are studied. It is demonstrated that the use of 3D filters that allow exploiting inter-channel correlation provides considerably better results in terms of conventional and visual quality metrics. It is also shown how 3D filter based on discrete cosine transform (DCT) can be adapted to a spatial correlation of noise. This adaptation produces sufficient increase of the filter's efficiency. Examples of filter's performance are presented.

关键词： DCT based filter spatially correlated noise adaptation color images

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Research of Technology and Application of MDO Development

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2nd International Conference on Advanced Engineering Materials and Technology (AEMT)

作者： Zhao Yunpeng Li Nan Naval Engn Univ Tianjin 300450 Peoples R China

ISBN: (纸本)9783037854471

In west DEMS areas of aerospace, MDO (Multidisciplinary Design Optimization) was the latest and most active design methods in recent years. Its main thinking is that: using DCNT (distributed Computer Network Technology) to integrate knowledge of all subjects;using effective design optimization strategy to organize and manage of the design process. Its objective is to get the overall optimal solution by using the interaction and synergy between all subjections;to shorten the cycle by implementing of the parallel design. So that the developed the product would be more competitive. This thesis researched MDO development situation of home and aboard from three parts: Techniques and methods, Integrated Framework software and Application for getting some inspiration how to research MDO now.

关键词： MDO technology optimization methods integration framework software MDO application

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distributed simulated annealing with MapReduce

Distributed simulated annealing with MapReduce

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EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, EvoApplications 2012

作者： Radenski, Atanas Chapman University Orange CA 92865 United States

ISBN: (纸本)9783642291777

Simulated annealing's high computational intensity has stimulated researchers to experiment with various parallel and distributed simulated annealing algorithms for shared memory, message-passing, and hybrid-parallel platforms. MapReduce is an emerging distributed computing framework for large-scale data processing on clusters of commodity servers;to our knowledge, MapReduce has not been used for simulated annealing yet. In this paper, we investigate the applicability of MapReduce to distributed simulated annealing in general, and to the TSP in particular. We (i) design six algorithmic patterns of distributed simulated annealing with MapReduce, (ii) instantiate the patterns into MR implementations to solve a sample TSP problem, and (iii) evaluate the solution quality and the speedup of the implementations on a cloud computing platform, Amazon's Elastic MapReduce. Some of our patterns integrate simulated annealing with genetic algorithms. The paper can be beneficial for those interested in the potential of MapReduce in computationally intensive nature-inspired methods in general and simulated annealing in particular. © 2012 Springer-Verlag.

关键词： MapReduce

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A Study on Reliability and Performance Improvement of distributed System for Large-Scale Data processing

A Study on Reliability and Performance Improvement of Distri...

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作者： Yasuhiro KIRIHATA Osaka University

This dissertation is a study on reliability and performance improvement of distributed system for large-scale data processing researched through 1999 to 2012 by the author who is enrolled at Hitachi Solutions, Ltd. and Graduate School of Information Science and Technology, Osaka University. Recently, as the growth rate of data is getting larger, technologies of storing and processing data at low cost are essential in enterprises and organizations. Because the prices of high-performance commodity servers are going down, it is more popular to construct a cluster or a distributed system of those machines for parallel and distributed data processing of the large-scale data set. In those distributed systems, security, performance, scalability, and availability are principal measures of the system. In terms of the security perspective, the thin client system is one of the effective security methods for the distributed systems dealing with a great number of files in the central file servers. However, it does not diffuse because of its expensive introduction and operational cost. For this reason, the methodology for construction of low-cost thin client system is required. In the high-performance perspective, technologies for batch and real-time processing on the cluster of commodity machines are significant. As for the batch processing, one of the important applications is the high-performance parallel generation of segmented indexes for the distributed search system. The resource saving and performance improvement of the index generation and reconfiguration are strongly required. Furthermore, as a representative example of the real-time processing, the parallel rendering on the PC cluster is a significant application. As the image data has high resolution and fine-grained quality with a great number of polygons, it is essential to realize the high performance rendering of the large-scale three dimensional images. Based on this background, we address the following three iss

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Rebinning of Conical Projection Data in Compton Imaging

Rebinning of Conical Projection Data in Compton Imaging

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IEEE Nuclear Science Symposium / Medical Imaging Conference Record (NSS/MIC) / 19th Room-Temperature Semiconductor X-ray and Gamma-ray Detector Workshop

作者： Lee, Mi No Lee, Soo-Jin Paichai Univ Dept Elect Engn Taejon 302735 South Korea

ISBN: (纸本)9781467320306;9781467320283

This paper presents a rebinning method for the reconstruction from Compton scattered conical projection data. Our rebinning method converts the 3-D conical projection data set into a stack of 2-D parallel projection data set so that a variety of existing 2-D analytical reconstruction methods developed for conventional emission tomography can be directly used for Compton imaging. In our rebinning method, the following three steps are performed. (i) A cone surface is sampled with a serial of lines that pass through the apex of the cone. (ii) By using the rotating imaginary planes, which are perpendicular to the transaxial (x-y) plane and parallel to the z axis, the sampled projection lines, which are mostly perpendicular to the imaginary planes, are sorted at each rotation angle. (iii) The sorted lines, most of which are oblique in the transaxial plane, are approximated to equivalent 2-D parallel projections in the transaxial plane using the Fourier rebinning (FORE) technique. Since our method is very fast, it can be useful for rapidly reconstructing Compton scattered data using fast analytical reconstruction methods.

关键词： Compton effect medical image processing single photon emission computed tomography

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SIFT特征分布式并行提取算法

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计算机研究与发展 2012年第5期49卷 1130-1141页

作者：姜桂圆张桂玲张大坤天津工业大学计算机科学与软件学院天津300387

SIFT(scale invariant feature transform)特征在物体检测和识别、图像配准与融合、纹理识别、场景分类、人脸检测、图像检索、三维重建、数字水印、影像追踪等领域具有广泛应用,但存在计算量大、消耗时间长的缺点.基于消息传递机制,采... 详细信息

SIFT(scale invariant feature transform)特征在物体检测和识别、图像配准与融合、纹理识别、场景分类、人脸检测、图像检索、三维重建、数字水印、影像追踪等领域具有广泛应用,但存在计算量大、消耗时间长的缺点.基于消息传递机制,采用数据并行策略,提出了在PC机群或COW(cluster ofworkstation)上提取图像SIFT特征的分布式并行算法(DP-SIFT算法):根据特征空间-高斯尺度金字塔的特点提出了高度宽度受限的数据块划分算法,设计了数据分配和特征调整方法;研究了数据块划分和数据发送方法对通信时间的影响,提出了基于消息传递机制的并行图像处理中数据块划分与数据发送方式协同对通信优化的策略;实验结果表明DP-SIFT算法具有良好的加速性能和较高的处理器利用效率,千兆以太网连接32核的PC机群系统图像规模为1024×768时,加速比和处理器效率分别可以达到20和0.6;图像规模为2048×1536时可达18和0.56.

关键词： SIFT DP—SIFT 数据并行消息传递并行图像处理数据分块

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A Visibility-Based Approach for Occupancy Grid Computation in Disparity Space

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2012年第3期13卷 1383-1393页

作者： Perrollaz, Mathias Yoder, John-David Negre, Amaury Spalanzani, Anne Laugier, Christian Natl Inst Res Comp Sci & Control Inria F-3833 Grenoble Rhone Alpes Saint Ismier France Ohio No Univ Dept Mech Engn Ada OH 45810 USA Natl Ctr Sci Res CNRS Grenoble Informat Lab F-38041 Grenoble 9 France Pierre Mendes France Univ UPMF Grenoble II F-38040 Grenoble 9 France Natl Inst Res Comp Sci & Control Inria F-38334 Grenoble Rhone Alpes Saint Ismier France

Occupancy grids are a very convenient tool for environment representation in robotics. This paper will detail a novel approach for computing occupancy grids from stereo vision and show its application to intelligent vehicles. In the proposed approach, occupancy is initially computed directly in the stereoscopic sensor's disparity space. The calculation formally accounts for the detection of obstacles and road pixels in disparity space, as well as partial occlusions in the scene. In the second stage, this disparity-space occupancy grid is transformed into a Cartesian space occupancy grid to be used by subsequent applications. This transformation includes spatial and temporal filtering. The proposed method is designed to easily be processed in parallel. Consequently, we chose to implement it on a graphics processing unit, which allows real-time processing for demanding applications. In this paper, we present this method, and we propose an application to the problem of perception in a road environment. Results are presented with real road data, qualitatively comparing this approach with other methods.

关键词： Intelligent vehicles robot vision stereo image processing systems object segmentation

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Proceedings - 2012 International Conference on Computer Science and Information processing, CSIP 2012

Proceedings - 2012 International Conference on Computer Scie...

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2012 International Conference on Computer Science and Information processing, CSIP 2012

ISBN: (纸本)9781467314114

The proceedings contain 361 papers. The topics discussed include: cross-strait information integration application strategy planning-a case study of Kinmen-Xiamen;the observability analysis of aerial moving target location based on dual-satellite geolocation system;application of digital image processing in the measurement of casting surface roughness;study of wavelet denoising in images of vacuum switching arc;research on trust mechanism in military information grid;a new algorithm for packing unequal disks in a larger circle;new tool radius compensation algorithm and implementation;parallel decoupling algorithm for solving the block tri-diagonal linear equations;methods analysis of the liquid ion-exchanged to manufacture the optical waveguide on the glass based;experimental study on quantum data stream cipher using homodyne detection;and the optimal model reduction method for spatially distributed system based on simulated annealing algorithm.

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parallel training and testing methods for complex image processing algorithms on distributed, heterogeneous, unreliable, and non-dedicated resources

Parallel training and testing methods for complex image proc...

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Conference on parallel processing for Imaging Applications

作者： Usamentiaga, Ruben Garcia, Daniel F. Molleda, Julio Sainz, Ignacio Bulnes, Francisco G. Univ Oviedo Dept Comp Sci Gijon 33204 Asturias Spain

ISBN: (纸本)9780819484093

Advances in the image processing field have brought new methods which are able to perform complex tasks robustly. However, in order to meet constraints on functionality and reliability, imaging application developers often design complex algorithms with many parameters which must be finely tuned for each particular environment. The best approach for tuning these algorithms is to use an automatic training method, but the computational cost of this kind of training method is prohibitive, making it inviable even in powerful machines. The same problem arises when designing testing procedures. This work presents methods to train and test complex image processing algorithms in parallel execution environments. The approach proposed in this work is to use existing resources in offices or laboratories, rather than expensive clusters. These resources are typically non-dedicated, heterogeneous and unreliable. The proposed methods have been designed to deal with all these issues. Two methods are proposed: intelligent training based on genetic algorithms and PVM, and a full factorial design based on grid computing which can be used for training or testing. These methods are capable of harnessing the available computational power resources, giving more work to more powerful machines, while taking its unreliable nature into account. Both methods have been tested using real applications.

关键词： parallelization on unreliable non-dedicated resources parallel training parallel genetic algorithms image processing based on grid computing

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Exploiting parallelism in a X-ray Tomography Reconstruction Algorithm on Hybrid Multi-GPU and Multi-core Platforms

Exploiting Parallelism in a X-ray Tomography Reconstruction ...

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International Symposium on parallel and distributed processing with Applications, ISPA

作者： Ernesto Liria Daniel Higuero Monica Abella Claudia de Molina Manuel Desco Universidad Carlos III de Madrid Madrid Spain Hospital General Universitario Gregorio Marañón Madrid Spain

Most small-animal X-ray computed tomography (CT) scanners are based on cone-beam geometry with a flat-panel detector orbiting in a circular trajectory. image reconstruction in these systems is usually performed by approximate methods based on the algorithm proposed by Feldkamp et al. Currently there are a strong need to speed-up the reconstruction of XRay CT data in order to extend its clinical applications. We present an efficient modular implementation of an FDK-based reconstruction algorithm that takes advantage of the parallel computing capabilities and the efficient bilinear interpolation provided by general purpose graphic processing units (GPGPU). The proposed implementation of the algorithm is evaluated for a high-resolution micro-CT and achieves a speed-up of 46, while preserving the reconstructed image quality.

关键词： Graphics processing unit Computed tomography image reconstruction parallel processing X-ray imaging Geometry Detectors

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