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检索条件"任意字段=Conference on Parallel Processing for Imaging Applications"

共 765 条记录，以下是101-110 订阅

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Generalizing Spectral Difference Method for Multispectral Image Demosaicking and Analyzing the Role of MSFA Patterns

Generalizing Spectral Difference Method for Multispectral Im...

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International conference on System Modeling & Advancement in Research Trends (SMART)

作者： Medha Gupta Graphic Era University Dehradun India

ISBN: (数字)9781728189086

ISBN: (纸本)9781728189093

Multispectral images contain more content and details in comparison to color images and are observed to be beneficial for several applications. However, large size and cost restricts the wider usage and adoption of the multi-sensors multispectral imaging systems. Multispectral image demosaicking methods can help develop single-sensor equivalent systems at low cost. In this work, we present an efficient generic method for multispectral image demosaicking by extending the spectral difference method and we also present the analysis of multispectral filter array (MSFA) patterns on the performance, evaluated using two different metrics and by considering two different benchmark multispectral images datasets. Experimental results demonstrate the efficacy of the proposed method, except in cases when non compact MSFA patterns are used.

关键词： Measurement Multispectral imaging Color Systems modeling parallel processing Benchmark testing Market research

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Coarsely Quantized Digital Correlators for Passive Millimeter Wave Imagers: A Hardware Perspective 16

Coarsely Quantized Digital Correlators for Passive Millimete...

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16th International Bhurban conference on Applied Sciences and Technology (IBCAST)

作者： Asif, Muhammad Guo, Xiangzhou Miao, Jungang Mehdi, Ghulam Beihang Univ Sch Elect Informat Engn Beijing Peoples R China Ctr Excellence Sci & Appl Technol Islamabad Pakistan

ISBN: (纸本)9781538677292

Passive imaging using Interferometric Aperture Synthesis requires intensive signal processing to form an image, with correlation as its core operation and the most compute intensive part. Correlators for power and space optimized applications, quite often, are designed with only a few levels of quantization e.g. 2-level, 3-level or 4-level. This article presents correlators with three different quantization schemes having same number of channels and sampling frequency. All three correlators are implemented for the same device to highlight the difference in hardware utilization, making it a reference for any relevant work. The 64-channel correlators are implemented for 2-level, 3-level and 4-level quantized input data. It requires to calculate 2016 real time correlations whereas the integration stage is capable of accumulating the correlation results for approximately 85 seconds with 800 MHz sampling frequency. The de-multiplexed architecture enables a collective throughput of 800M Correlations/second while running each parallel datapath at a clock frequency of 200 MHz. The design is implemented in Xilinx Vivado for Kintex family device whereas the design verification is accomplished by comparing register-transfer-level simulation results with ideal MATLAB results. The comparison made on the basis of device utilization shows that no big difference exists between 2-level, 3-level and 4-level correlators from hardware perspective.

关键词： Remote Sensing Passive imaging Digital Signal processing Digital Correlator Hardware Utilization FPGA

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FPGA-based multi cycle parallel architecture for real-time processing in ultrasound applications

FPGA-based multi cycle parallel architecture for real-time p...

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International conference on applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2018

作者： Meacci, Valentino Boni, Enrico Dallai, Alessandro Ramalli, Alessandro Scaringella, Monica Guidi, Francesco Russo, Dario Ricci, Stefano Department of Information Engineering University of Florence Florence Italy Laboratory of Cardiovascular Imaging and Dynamics Department of Cardiovascular Sciences KU Leuven Louvain Belgium

ISBN: (纸本)9783030119720

A typical echograph transmits ultrasound signals and receives backscattered echoes through several tens of small transducers that compose the array of the probe. The system should process the acquired echoes in a very short time, typically few tens of ms, so that the medical doctor does not perceive any delay between the probe movements and the image update. This implies, especially when high-frame rate is required, the real-time processing of several GB of data per second: a huge constraint that is even emphasized in the new advanced ultrasound modalities investigated nowadays. In this paper, we present a Field Programmable Gate Array architecture which uses a combination of parallel and serial strategies capable to achieve a throughput rate of 3.5 GB/s in ultrasound data processing. The proposed architecture is implemented in the research ultrasound system ULA-OP 256. The performance of this approach is demonstrated by the real-time implementation of Plane Wave Vector Doppler, a novel investigation method that shows the blood velocity fields over a 2D section of an artery. Tests in a carotid artery of a volunteer are presented. © 2019, Springer Nature Switzerland AG.

关键词： Probes

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3D Volume Visualization System Based on GPUs for Medical Big Data 4th

3D Volume Visualization System Based on GPUs for Medical Big...

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4th International conference on Big Data applications and Services ( (BigDAS)

作者： Yoon, Joseph Kown, Oh-Soek Cheong, Jae-Gyun Park, Keon-Kuk Kim, Young-Bong Pukyong Natl Univ IT Convergence & Applicat Engn Yongso Ro 45 Busan 48513 South Korea

ISBN: (纸本)9789811306952;9789811306945

With the appearance of computerization society, medical equipment has been closely coupling with computers. Images from medical equipment have become very useful basic data in diagnosing the state of a patent. These images have often obtained from medical computerized equipment such as X-ray system, Ultrasound system, Computerized Tomography (CT), Magnetic Resonance imaging (MRI), and so on. For increasing the effective value of those images, we have to employ the preprocessing techniques such as a median filter, a Gaussian filter, and a mean filter. And also, we take the special algorithms such as a phase correction, a dispersion compensation, and a Hilbert transform. These additional techniques make it impossible to watch the images in a real time. Thus, we have to get a rapid processing of medical images for the real-time display of those images. In this research, we will propose a method to give a real-time display of images using multi-thread techniques and parallel processing algorithms. In a multi-thread technique, if two threads share the same resource, one thread may change the resource data during the processing of the other thread. We will design a method to avoid the collision in a resource usage right between threads.

关键词： Triple buffers Dual GPU Medical image processing 3D volume

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Blazed grating theory to minimize the non-idealities in LCoS devices 13

Blazed grating theory to minimize the non-idealities in LCoS...

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conference on Optics and Photonics for Information processing XIII

作者： Marquez, A. Martinez-Guardiola, F. J. Frances, J. Ramirez, M. G. Calzado, E. M. Morales-Vidal, M. Gallego, S. Pascual, I. Univ Alicante Dept Fis Ingn Sistemas & T Senal POB 99 E-03080 Alicante Spain Univ Alicante IU Fis Aplicada Ciencias & Tecnol POB 99 E-03080 Alicante Spain Univ Alicante Dept Opt Farmacol & Anat POB 99 E-03080 Alicante Spain

ISBN: (纸本)9781510629660

parallel-aligned liquid crystal on silicon (PA-LCoS) microdisplays are widely used in spatial light modulation applications, especially in those requiring phase-only modulation. One such application area is programmable diffractive optics which plays a very important role in modern optical imaging systems or in optical interconnections for optical telecommunications. Among the multilevel diffractive optical elements (DOEs) we focus on the important case of the blazed gratings. We develop the corresponding analytical expressions for the diffracted field where, as one of the novelties in the work, an analytical expression including the fill factor and the flicker is obtained. This enables to have a model against to compare the experimental results in a number of situations where fill factor, flicker, period, and number of quantization levels are the variables. This also enables to design appropriate compensation techniques to enhance the performance of the blazed gratings.

关键词： Liquid crystal on silicon displays parallel aligned phase-only modulation spatial light modulation flicker fringing-field blazed gratings diffractive optics Stokes polarimetry

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Fully FPGA-based 3D (X,Y,t) imaging system with Cross Delay-Lines detectors and Eight-Channels High-Performance Time-to-Digital Converter

Fully FPGA-based 3D (X,Y,t) imaging system with Cross Delay-...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： F. Garzetti N. Lusardi N. Corna S. Salgaro N. Busola A. Geraci G. Brajnik S. Carrato G. Cautero M. Cautero R. Sergo L. Stebel Politecnico di Milano Milano MI Italy Elettra Sincrotrone Trieste Basovizza Trieste Italy

Time resolved experiments are among the most powerful tools in physic for exploring photoelectron spectroscopy phenomena over time scales from milliseconds to picoseconds Moreover, acquisition systems with versatility and real-time computing are needed. Cross Delay-Lines detectors (CDL) are extremely suitable for these applications, since arrival time measurement is exploited to perform position detection, allowing to provide both information together. Typical architectures for acquisition systems are based on Aplication Specific Integrated Circuit (ASIC) Time-to-Digital Converters (TDCs) followed by a Field Programmable Logic Array (FPGA); fast parallel computing is combined with time precision, allowing to perform state-of-the-art time resolved experiments. Nevertheless, the limiting factor of this architecture is the absence of reconfigurability of the ASIC that strongly limits the customization respect to the requests of a specific set-up. Especially today, where the state-of-the-art TDCs implemented in FPGA, is comparable to the ASIC solutions. In 2019 Nuclear Science Symposium, we presented a fully-reconfigurable FPGA-based solution, where the TDC and the image reconstruction algorithm were hosted in two FPGAs. In particular, we focused on the 4-channel TDC that, guarantees high-performance in terms of resolution (1 ps), Full-Scale Range (200 µs), Integral Non Linearity, (4 ps over 500 ns), In this contribution, we give significant improvements in order to satisfy the aforementioned experimental experimental requests. In fact, the “pulse-to-pulse” dead-time of the TDC has been reduced from 20 ns to 7 ns, and the transmission rate between the FPGAs has been incremented from 10 to 100 Msps. Furthermore, we have increased the number of channels of the TDC from 4 to 8. This makes possible to correlate the CDL events with signals coming from other sources that can be as well Time-of-Fight or laser pulses as other CDL signals.

关键词： Performance evaluation Image resolution Three-dimensional displays Detectors Computer architecture parallel processing Tools

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Deriving Neural Network Architectures Using Precision Learning: parallel-to-Fan Beam Conversion 40th

Deriving Neural Network Architectures Using Precision Learni...

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40th German conference on Pattern Recognition, GCPR 2018

作者： Syben, Christopher Stimpel, Bernhard Lommen, Jonathan Würfl, Tobias Dörfler, Arnd Maier, Andreas Pattern Recognition Lab Department of Computer Science Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Department of Neuroradiology Universitätsklinikum Erlangen Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany

ISBN: (纸本)9783030129385

In this paper, we derive a neural network architecture based on an analytical formulation of the parallel-to-fan beam conversion problem following the concept of precision learning. The network allows to learn the unknown operators in this conversion in a data-driven manner avoiding interpolation and potential loss of resolution. Integration of known operators results in a small number of trainable parameters that can be estimated from synthetic data only. The concept is evaluated in the context of Hybrid MRI/X-ray imaging where transformation of the parallel-beam MRI projections to fan-beam X-ray projections is required. The proposed method is compared to a traditional rebinning method. The results demonstrate that the proposed method is superior to ray-by-ray interpolation and is able to deliver sharper images using the same amount of parallel-beam input projections which is crucial for interventional applications. We believe that this approach forms a basis for further work uniting deep learning, signal processing, physics, and traditional pattern recognition. © 2019, Springer Nature Switzerland AG.

关键词： Interpolation

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19th International conference on Computational Science and Its applications, ICCSA 2019

19th International Conference on Computational Science and I...

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19th International conference on Computational Science and Its applications, ICCSA 2019

ISBN: (纸本)9783030242886

The proceedings contain 103 papers. The special focus in this conference is on Computational Science and Its applications. The topics include: Influence of Drivers’ Behavior on Traffic Flow at Two Roads Intersection;quantify Physiologic Interactions Using Network Analysis;effects in the Algorithm Performance from Problem Structure, Searching Behavior and Temperature: A Causal Study Case for Threshold Accepting and Bin-Packing;towards the Adaptation of an Active Measurement Protocol for Delay/Disruption-Tolerant Networking;A Proposal for IP Spoofing Mitigation at Origin in Homenet Using Software-Defined Networking;parallel OpenMP and CUDA Implementations of the N-Body Problem;minimizing the Energy of a Quad Rotor in Free Final Time Using Bocop Software;modeling Energy Consumption Based on Resource Utilization;silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring;numerical Solution of Nonlinear Cross Diffusion Problems;a Knowledge-Based Computational Environment for Real-World Data processing;adaptive Hierarchical Mesh Detail Mapping and Deformation;multithreading in Laser Scanning Data processing;airborne Object Detection Using Hyperspectral imaging: Deep Learning Review;a New Strategy for Scattered Data Approximation Using Radial Basis Functions Respecting Points of Inflection;efficient Simple Large Scattered 3D Vector Fields Radial Basis Functions Approximation Using Space Subdivision;human Action Recognition Using Convolutional Neural Networks with Symmetric Time Extension of Visual Rhythms;simple and Fast Oexp(N) Algorithm for Finding an Exact Maximum Distance in E2 Instead of O(N^2) or O(N lgN);a Machine Learning Approach to the Early Diagnosis of Alzheimer’s Disease Based on an Ensemble of Classifiers;low Bit Rate 2D Seismic Image Compression with Deep Autoencoders.

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Low Latency Image processing of Transportation System Using parallel processing co-incident Multithreading (PPcM) 7

Low Latency Image Processing of Transportation System Using ...

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Joint 7th International conference on Informatics, Electronics & Vision (ICIEV) / 2nd International conference on imaging, Vision and Pattern Recognition (icIVPR)

作者： Shammi, Sanjana Khan Sultana, Samia Islam, Md Saiful Chakrabarty, Amitabha BRAC Univ Dept Comp Sci & Engn Dhaka Bangladesh

ISBN: (纸本)9781538651636

Low latency image processing and high FPS (frames per second) is significant for high resolution decision making in many object recognition applications. Reading frames in between processing of a video is too slow and sluggish as the corresponding reading and decoding the frames are done in the main processing thread. Packages, such as imutils provide such off-the-shelf image processing algorithms which apply multi-threading to achieve low latency. However, the algorithms are unable to perform computationally expensive image processing operations. In this paper, we apply a parallel processing technique based on co-incident multi-threading to decrease the latency for computationally expensive cases. The technique is evaluated using a prototype of smart car to show that FPS rate is increased and time complexity of algorithms is reduced by an order of n.

关键词： FPS imutils Multithreading

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GPU-Accelerated Light-field Image Super-resolution

GPU-Accelerated Light-field Image Super-resolution

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International conference on Advanced Computing and applications (ACOMP)

作者： Trung-Hieu Tran Mammadov, Gasim Sun, Kaicong Simon, Sven Univ Stuttgart Inst Parallel & Distributed Syst Stuttgart Germany

ISBN: (纸本)9781538691861

Light-field imaging has become an emerging technology that brings great benefits to many fields, i.e. in photography, academia, and industry. However, these benefits come with the cost of high computation requirement that limits its applications in practice. This paper presents an accelerated solution for 4D light-field image super-resolution. The acceleration is achieved by the mean of parallel computation using graphics processing units. The selected algorithm is broken into functions which is suitable for parallel execution. Each of the functions is then transformed into GPU kernel and executed at each work-item which is associated with a pixel location in the proposed architecture. Using disparity maps extracted from input 4D light-field as an aid for super-resolution task, the proposed approach can successfully super-resolute an input 4D light-field by the factor of 4 horizontally and vertically. Two strategies, Y-RGB and RGB, are proposed to handle color images. Y-RGB is suitable for high-speed processing constraints while RGB is more preferable if output quality is the main concern. Experimental results show that the proposed approach can achieve the speed up of 203x and 71x compared to CPU implementation for Y-RGB and RGB strategy respectively. Regarding output quality, the proposed approach generates a shaper high-resolution image with more details compared to the baseline methods.

关键词： Spatial resolution Graphics processing units imaging Estimation Computer architecture Three-dimensional displays

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