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检索条件"任意字段=2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017"

共 891 条记录，以下是661-670 订阅

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A Novel CNN Architecture on FPGA-based SoC for Remote Sensing image Classification

A Novel CNN Architecture on FPGA-based SoC for Remote Sensin...

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2019 IEEE International conference on signal, Information and Data processing, ICSIDP 2019

作者： Zhang, Na Shi, Hao Chen, Liang Lin, Tong Shao, Xin School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Racobit Electronic Information Technology Co. Ltd Beijing China

ISBN: (纸本)9781728123455

The convolutional neural network (CNN) has achieved extraordinary results for image classification and recognition in-orbit satellite remote sensing applications. However, the implementation of CNN is difficult due to the increasing computational accuracy and complexity of CNN and the special working environment for satellites in orbit. A promising solution for this problem is field-programmable gate array (FPGA) due to its sufficient supporting for parallel computing with low power consumption. And system-on-chip (SoC) is a system that supports parameter reconfiguration. Hence, through applying the Lenet-5 based remote sensing image classification method to SoC, we propose several network mapping methods to reduce the resource consumption and enhance the computational efficiency of FPGA, then, we utilize the proposed methods to design several key modules for the implementation of CNNs, i.e., the convolution module, sigmoid module, pooling module, full connected module, system control module, on-chip cache model, and off-chip DRAM module. The test results show that the proposed hardware system architecture can implement Lenet-5 network and realize the realtime requirements of the system. © 2019 IEEE.

关键词： System-on-chip

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Analysis, Comparison, and Assessment of Latent Fingerprint image Preprocessing 30

Analysis, Comparison, and Assessment of Latent Fingerprint I...

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30th IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Guan, Haiying Lee, Paul Dienstfrey, Andrew Theofanos, Mary Lamp, Curtis Stanton, Brian Schwarz, Matthew T. NIST Gaithersburg MD 20899 USA Schwarz Forens Enterprises Inc Ankeny IA USA

ISBN: (纸本)9781538607336

Latent fingerprints obtained from crime scenes are rarely immediately suitable for identification purposes. Instead, most latent fingerprint images must be preprocessed to enhance the fingerprint information held within the digital image, while suppressing interference arising from noise and otherwise unwanted image features. In the following we present results of our ongoing research to assess this critical step in the forensic workflow. Previously we discussed the creation of a new database of latent fingerprint images to support such research. The new contributions of this paper are twofold. First, we implement a study in which a group of trained Latent Print Examiners provide Extended Feature Set markups of all images. We discuss the experimental design of this study, and its execution. Next, we propose metrics for measuring the increase of fingerprint information provided by latent fingerprint image preprocessing, and we present preliminary analysis of these metrics when applied to the images in our database(1). We consider formally defined quality scales (Good, Bad, Ugly), and minutiae identifications of latent fingerprint images before and after preprocessing. All analyses show that latent fingerprint image preprocessing results in a statistically significant increase in fingerprint information and quality.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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Research and Implementation for Quadrature Digital Down Converter of Low Intermediate Frequency signal Based on FPGA

Research and Implementation for Quadrature Digital Down Conv...

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International conference on Information Technology and Intelligent Transportation Systems (ITITS)

作者： Kang Jun-min Changan Univ Sch Informat Engn Xian 710064 Peoples R China

ISBN: (纸本)9783319387895;9783319387871

For the receiver of Global Navigation Satellite System, quadrature digital down converter of low intermediate frequency signal can reduce the data rate and improve the real-time processing ability of baseband. But the phase quantization and amplitude quantization of existing methods may introduce new errors which could have a serious impact on the receiver's ultimate accuracy. According to the result of extensive research in the processing method for quadrature digital down converter, optimization the structure of polyphase filter, Integrated planning for the receiver with the unified optimization of RF chip and baseband circuit. design a quadrature digital down converter structure which shared with capture mode and tracking mode, and does not introduce gain error and phase error. Simulation and application test results showed that compared with classic quadrature digital down converters, the design put forward in this pater can avoid data and phase truncation with a simple structure and faster processing speed. Under the same image frequency rejection ratio, its circuit is smaller. Practice has proved that the proposed FPGA structure is very suitable for the BeiDou Navigation Satellite System.

关键词： Satellite navigation BeiDou Navigation Satellite System (BDS) Digital signal processing Quadrature down converter FPGA

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ACM International conference Proceeding Series

ACM International Conference Proceeding Series

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2nd International conference on Biomedical signal and image processing, ICBIP 2017

ISBN: (纸本)9781450352680

The proceedings contain 17 papers. The topics discussed include: automatic identification of circulating tumor cells in fluorescence microscopy images based on ANN;identification of sudden cardiac arrest (SCA) using modified wavelet transform;design of smart shopping wall using hand gesture and facial image recognition;classification of handwritten Tamil characters in palm leaf manuscripts using SVM based smart zoning strategies;pattern recognition in thought-form images using radon transform and histograms;an interactive technique of fast vertebral segmentation for computed tomography images with bone metastasis;statistical shape model generation using diffeomorphic surface registration;SAM filter based convolution neural network algorithm for leukocyte classification;and multimodal and multispectral imaging for chronic pressure ulcer assessment.

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The design of multi-core DSP parallel model based on message passing and multi-level pipeline

The design of multi-core DSP parallel model based on message...

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Annual conference of the Chinese-Society-for-Optical-Engineering (CSOE) on Applied Optics and Photonics China (AOPC) - Space Optics and Earth Imaging and Space Navigation

作者： Niu, Jingyu Hu, Jian He, Wenjing Meng, Fanrong Li, Chuanrong Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Acad Sci Acad Optoelect Lab Quantitat Remote Sensing Informat Technol Beijing 100094 Peoples R China

ISBN: (数字)9781510614086

ISBN: (纸本)9781510614086;9781510614079

Currently, the design of embedded signal processing system is often based on a specific application, but this idea is not conducive to the rapid development of signal processing technology. In this paper, a parallel processing model architecture based on multi-core DSP platform is designed, and it is mainly suitable for the complex algorithms which are composed of different modules. This model combines the ideas of multi-level pipeline parallelism and message passing, and summarizes the advantages of the mainstream model of multi-core DSP (the Master-Slave model and the Data Flow model), so that it has better performance. This paper uses three-dimensional image generation algorithm to validate the efficiency of the proposed model by comparing with the effectiveness of the Master-Slave and the Data Flow model.

关键词： multi-core DSP parallel processing pipeline parallel

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Performance and computational trade analysis for low-SWaP synthetic aperture radar application

Performance and computational trade analysis for low-SWaP sy...

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2017 International conference on Radar Systems, Radar 2017

作者： Paulus, A.S. Davis, M.S. Carlson, D.O. Melvin, W.L. Himed, B. Georgia Tech Research Institute Georgia Institute of Technology United States AFRL RYMD Wright Patterson Air Force Base United States

ISBN: (纸本)9781785615153

Airborne radar platforms with low size, weight, and power (SWaP) minimize cost and operational risk but also place constraints on the complexity of the algorithms used to process the received data. Producing high quality radar images requires sophisticated algorithms that provide accurate and useful information regarding the scene of interest. Imaging algorithms that provide the highest quality synthetic aperture radar (SAR) imagery come with a steep computational price: 0(N3) operations are required to produce an N pixel x N pixel image;imaging algorithms that require fewer computations introduce errors of varying degree that result from approximations to the signal model. Several sub-optimal SAR imaging algorithms were evaluated to quantify the impact of these approximations for various system parameters and scene sizes. A comparison of image formation times on two low-power graphical processing units (GPUs) provides a realistic comparison of algorithm complexity. Additional algorithms and techniques in the end-to-end image formation process that provide favorable trades between performance and computations are identified, and design challenges specific to a SWaP-limited platform are addressed. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Commerce

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BoostNet: A Structured Deep Recursive Network to Boost image Deblocking 33

BoostNet: A Structured Deep Recursive Network to Boost Image...

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33rd IEEE International conference on Visual Communications and image processing (IEEE VCIP)

作者： Zhao, Chen Zhang, Jian Wang, Ronggang Gao, Wen Peking Univ Shenzhen Grad Sch Shenzhen Peoples R China

ISBN: (纸本)9781538644584

To alleviate the conflict between bit reduction and quality preservation, image deblocking as a post-processing strategy is an attractive and promising solution without changing existing codec. Traditional image deblocking methods mainly rely on manually-crafted image prior models, whereas recent deep network-based methods are usually designed in an inexplicable manner. To combine the merits of both categories of deblocking methods, in this paper, we start from formulating image deblocking as an optimization problem, inspired by which we then design a general and interpretable deep structured network for boosting image deblocking, dubbed BoostNet. Each module of BoostNet correlates to one iteration of the optimization step. In addition, the weights across all modules in BoostNet are shared so that the learnable parameters of BoostNet are tremendously reduced. Furthermore, the quantization matrix, which is not considered in previous network-based methods, is incorporated into our BoostNet as an input. Therefore, one single BoostNet can deal well with various quantization strengths. Experiments demonstrate that our proposed structured deep recursive network BoostNet can produce state-of-the-art deblocking results, while maintaining fast computational speed.

关键词： image deblocking compression artifacts reduction deep network optimization image restoration

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Proceedings - International conference on image processing, ICIP

Proceedings - International Conference on Image Processing, ...

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24th IEEE International conference on image processing, ICIP 2017

ISBN: (纸本)9781509021758

The proceedings contain 923 papers. The topics discussed include: a novel angle-restricted test zone search algorithm for performance improvement of HEVC;probabilistic graphical model based fast HEVC inter prediction;motion compensation using critically sampled DWT subbands for low-bitrate video coding;multi-modal/multi-scale convolutional neural network based in-loop filter design for next generation video codec;robust plane-based calibration for linear cameras;exponential coordinates based rotation stabilization for panoramic videos;360-degree video stitching for dual-fisheye lens cameras based on rigid moving least squares;efficient cloud detection in remote sensing images using edge-aware segmentation network and easy-to-hard training strategy;robust ellipse detection via arc segmentation and classification;circle detection by arc-support line segments;face spoofing detection by fusing binocular depth and spatial pyramid coding micro-texture features;localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification;on the accuracy and robustness of deep triplet embedding for fingerprint liveness detection;stereoscopic cloud base reconstruction using high-resolution whole sky imagers;person identification using spatiotemporal motion characteristics;blind quality assessment of multiply-distorted images based on structural degradation;and MVIRT, a toolbox for manifold-valued image restoration.

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Parallel Efficient Rate Control Methods for JPEG 2000 40

Parallel Efficient Rate Control Methods for JPEG 2000

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conference on Applications of Digital image processing XL

作者： Martinez-del-Amor, Miguel A. Bruns, Volker Sparenberg, Heiko Fraunhofer Inst Integrated Circuits IIS Moving Picture Technol Dept Wolfsmantel 33 D-91058 Erlangen Germany

ISBN: (数字)9781510612501

ISBN: (纸本)9781510612501;9781510612495

Since the introduction of JPEG 2000, several rate control methods have been proposed. Among them, post-compression rate-distortion optimization (PCRD-Opt) is the most widely used, and the one recommended by the standard. The approach followed by this method is to first compress the entire image split in code blocks, and subsequently, optimally truncate the set of generated bit streams according to the maximum target bit rate constraint. The literature proposes various strategies on how to estimate ahead of time where a block will get truncated in order to stop the execution prematurely and save time. However, none of them have been defined bearing in mind a parallel implementation. Today, multi-core and many-core architectures are becoming popular for JPEG 2000 codecs implementations. Therefore, in this paper, we analyze how some techniques for efficient rate control can be deployed in GPUs. In order to do that, the design of our GPU-based codec is extended, allowing stopping the process at a given point. This extension also harnesses a higher level of parallelism on the GPU, leading to up to 40% of speedup with 4K test material on a Titan X. In a second step, three selected rate control methods are adapted and implemented in our parallel encoder. A comparison is then carried out, and used to select the best candidate to be deployed in a GPU encoder, which gave an extra 40% of speedup in those situations where it was really employed.

关键词： image Compression JPEG 2000 GPGPU EBCOT Rate Control

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2017 International conference on Computer Systems, Electronics and Control, ICCSEC 2017

2017 International Conference on Computer Systems, Electroni...

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2017 International conference on Computer Systems, Electronics and Control, ICCSEC 2017

ISBN: (纸本)9781538635735

The proceedings contain 289 papers. The topics discussed include: a robot used for partial discharge detection of switchgear;dynamic analysis of clamping and self-promotion wheel of car carrier robot;the influence of UPFC on electrical damping of SSO based on equivalent impedance method;joint allocation of bandwidth and power in multi-service scenarios in DVB systems;solving phase ambiguity by combining TOA with remainder theorem;evaluation of integrated logistics service based on SERVQUAL model;fault prediction of rolling bearing based on ARMA model;incremental processing of continuous K nearest neighbor queries over moving objects;research of filtering image linear characteristic recognition method based on improved Hough transform;survey of signal parameter identification technology;research on hyperchaotic encryption algorithm based on MapReduce;automatic keyword extraction using word embedding and clustering;algorithm design of wearable pedometer;automatic assembly of eccentric shaft component based on the machine learning algorithm;application of MATLAB software in reliability verification test of success or failure product;the design and implement of monitoring system for mushroom greenhouses based on intelligent agriculture;the unmanned autonomous cruise ship for water quality monitoring and sampling;and wireless coverage in undulating terrain based on ray tracing.

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