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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261-270 订阅

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design of multi-channel CCD signal processing system based on FPGA 2

Design of multi-channel CCD signal processing system based o...

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2nd International conference on image, Vision and Computing, ICIVC 2017

作者： Zhou, Zhijuan Hu, Yuting Zhai, Guofang Beijing Institute of Space Mechanics and Electricity Beijing China

ISBN: (纸本)9781509062379

A multi-channel CCD signal processing system is introduced in this paper. It is used to drive CCDs to operate, to receive output image signals from CCD, then to implement data processing and encoding, finally to send out the data to a receiving system. Three boards in traditional remote sensing camera electronic system are integrated into one board with the same function in this system. FPGA is used as a core device for system control and data processing. Framework and software of the new design are presented in this paper, and test results are shown at last. Application shows that the design method can accomplish all the functions of the required. After integrated, interfaces between boards are simplified, scales of hardware and software are reduced, and system stability and reliability are improved. It is very valuable in engineering application. © 2017 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Multiscale Directional Transforms based on Cosine-Sine Modulated Filter Banks for Sparse Directional image Representation 9

Multiscale Directional Transforms based on Cosine-Sine Modul...

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9th Annual Summit and conference of the Asia-Pacific-signal-and-Information-processing-Association (APSIPA ASC)

作者： Nomura, Yusuke Ogawa, Ryutaro Kyochi, Seisuke Suzuki, Taizo Univ Kitakyushu Fukuoka Japan Univ Tsukuba Ibaraki Japan

ISBN: (纸本)9781538615423

This paper proposes multiscale directional transforms (MDTs) based on cosine-sine modulated filter banks (CSMFBs). Sparse image representation by directional transforms is necessary for image analysis and processing tasks and has been extensively studied. Conventionally, cosine-sine modulated filter banks (CSMFBs) have been proposed as one of separable directional transforms (SepDTs). Their computational cost is much lower than non-SepDTs, and they can work better than other SepDTs, e.g., dual-tree complex wavelet transforms (DTCWTs) in image processing applications. One drawback of CSMFBs is a lack of multiscale directional selectivity, i.e., it cannot provide multiple scale directional atoms as in the DTCWT frame, and thus flexible image representation cannot be achieved. In this work, we show a design method of multiscale CSMFBs by extending modulated lapped transforms, which are a subclass of CSMFBs. We confirm its effectiveness in nonlinear approximation and image denoising as a practical application.

关键词： Transforms Two dimensional displays Prototypes image representation image denoising Delays Laplace equations

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Architecture of a Low Latency H.264/AVC Video Codec for robust ML based image Classification 21

Architecture of a Low Latency H.264/AVC Video Codec for robu...

引用

14th Workshop on design and architectures for signal and image processing, dasip 2021, held jointly with the 16th HiPEAC conference

作者： Stabernack, Benno Steinert, Fritjof Fraunhofer Institute for Telecommunications Heinrich Hertz Institute Hhi Germany

ISBN: (纸本)9781450389013

The use of neural networks represents the state of the art in the area of image classification. A large number of different networks are available for this purpose, which, appropriately trained, permit a high level of classification accuracy. Typically, these networks are applied to uncompressed image data, since a corresponding training was also carried out using image data of similar high quality. However, if image data contains image errors, the classification accuracy generally deteriorates drastically. This applies in particular to coding artifacts that arise from image and video compression. Typical application scenarios for this are narrowband transmission channels for which video coding is required but a subsequent classification is to be carried out on the receiver side. In this paper we present a special H.264/AVC-based video codec that allows certain regions of a picture to be coded with constant picture quality in order to allow a stable and robust classification using neural networks, whereas the remaining image regions will be coded using constant bit rate. We have combined this feature with the ability to run with lowest latency properties, which is usually also required in remote control applications scenarios. The codec has been implemented as a fully hardwired HD capable hardware architecture which is suitable for Field Programmable Gate Arrays. © 2021 Owner/Author.

关键词： image compression

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Structurally orthogonal finite precision FPGA implementation of block-lifting-based quaternionic paraunitary filter banks for L2L image coding 22

Structurally orthogonal finite precision FPGA implementation...

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2017 22nd International conference on Digital signal processing (DSP)

作者： Petrovsky, Nick A. Rybenkov, Eugene V. Petrovsky, Alexander A. Belarusian State Univ Informat & Radioelect Dept Comp Engn Minsk BELARUS

ISBN: (纸本)9781538618950

This paper presents a systematic design of the integer-to-integer invertible quaternionic multiplier based on the block-lifting structure and pipelined embedded processor of the given multiplier using distributed arithmetic (DA) as a block of M-band linear phase paraunitary filter banks (LP PUFB) based on the quaternionic algebra (Q-PUFB). A bank Q-PUFB based on the DA block-lifting structure reduces the number of rounding operations and has a regular layout, and can be implemented on the FPGA-based devices as integer-to-integer transform. Compared to general-purpose Q-PUFB obtained using lifting factorization, it needs less lifting steps and the given DA-based Q-PUFBs have less number of rounding operations and this property is useful for the lossless-to-lossy (L2L) image coding. Furthermore our DA-based 8-channel LP Q-PUFBs presented superior coding results on the PSNR than the corresponding filter banks, especially for image with relatively strong highpass components.

关键词： Quaternions image coding Algebra Transforms Transform coding Clocks Field programmable gate arrays

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A comparison of cost construction methods onto a C6678 platform for stereo matching

A comparison of cost construction methods onto a C6678 platf...

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conference on design and architectures for signal and image processing

作者： Judicaël Menant Guillaume Gautier Jean-François Nezan Muriel Pressigout Luce Morin IETR / INSA Rennes

Stereo matching techniques aim at reconstructing depth information from a pair of images. The use of stereo matching algorithms in embedded systems is very challenging due to the complexity of state-of-the-art algorithms. Most stereo matching algorithms are made of three different parts; the cost construction, the cost aggregation and the disparity selection. This paper focuses on comparing the efficiency of different cost construction methods implemented on a Digital signal Processor (DSP) C6678 platform. Three cost construction algorithms based on census, Sum of Absolute Differences (SAD) and Mutual Information (MI) have been compared in terms of output quality and execution time. Each method has its own specificity discussed in this paper. The SAD is the simplest one and is used as reference in this paper. The census has a good output quality, and the MI is faster.

关键词： signal processing algorithms Digital signal processing Embedded systems Table lookup Mutual information Stereo image processing VLIW

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FPGA Implementation of Real Time Video signal processing Using Sobel, Robert, Prewitt and Laplacian Filters 25

FPGA Implementation of Real Time Video Signal Processing Usi...

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25th signal processing and Communications Applications conference (SIU)

作者： Onat, Emrah SDT Ankara Turkey

ISBN: (纸本)9781509064946

In this paper, hardware implementation of edge detection at real time video signals using Sobel, Robert, Prewitt and Laplacian filters based on FPGA is explained. Besides, filters are compared in many ways. Edge detection is an elemantary and fundamental tool for image segmentation and feature extraction. Very high speed hardware like FPGA's are used to implement the image and video processing algorithms for improving the performance of processing systems. Algorithms are implemented on the Xilinx Zynq 7000. The video input signals come from a laptop's HDMI interface to FPGA in order to filter and the detected edges arc displayed on a HDMI display screen.

关键词： real time video processing image processing sobel filter robert filter prewitt filter laplacian filter edge detection FPGA

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Application workload model generation methodologies for system-level design exploration

Application workload model generation methodologies for syst...

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conference on design and architectures for signal and image processing

作者： Jukka Saastamoinen Jari Kreku Communication Platforms VTT Technical Research Center of Finland Oulu Finland

As most of the applications of embedded system products are realized in software, the performance estimation of software is crucial for successful system design. Significant part of the functionality of these applications is based on services provided by the underlying software libraries. Often used performance evaluation technique today is the system-level performance simulation of the applications and platforms using abstracted workload and execution platform models. The accuracy of the software performance results is dependent on how closely the application workload model reflects actual software as a whole. This paper presents a methodology which combines compiler based user code workload model generation with workload extraction of pre-compiled libraries, while exploiting an overall approach and execution platform model developed previously. Benefit of the proposed methodology compared to earlier solution is experimented using a set of benchmarks.

关键词： Libraries Load modeling Accuracy XML Kernel Instruction sets

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Optimal MIMO Array Configuration for Ultrawideband Microwave Imaging 25

Optimal MIMO Array Configuration for Ultrawideband Microwave...

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25th signal processing and Communications Applications conference (SIU)

作者： Kocamis, M. Burak Oktem, Figen S. Orta Dogu Tekn Univ Elekt & Elekt Muhendisligi Bolumu TR-06800 Ankara Turkey

ISBN: (纸本)9781509064946

Wideband microwave imaging systems are recently used in various applications including airport security, surveillance, through-wall imaging and medicine. For the operation of such high-resolution systems, sparse multiple-input-multiple output (MIMO) arrays are of interest to reduce the hardware complexity and cost of conventional planar arrays. In this paper, we present a method for the optimal design of two-dimensional MIMO arrays in near-field imaging. Using a statistical framework, the optimality criterion is defined based on the image reconstruction quality. A modified version of the sequential backward selection algorithm is used to optimize the criterion over all possible locations of desired number of antenna elements. The designs obtained with the algorithm are compared with the commonly used sparse array configurations such as Mills Cross array and curvilinear structure composed array in terms of image reconstruction quality.

关键词： near-field imaging MIMO radar sparse array optimal design image reconstruction

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Session 4: signal processing on reconfigurable architectures

Session 4: Signal processing on reconfigurable architectures

引用

conference on design and architectures for signal and image processing

作者： Tomasz Kryjak AGH University of Science and Technology PL

The aim of this session is to present recent advances in signal processing implemented on field programmable reconfigurable arrays (FPGA) and coarse grained reconfigurable arrays (CGRA). In the first paper a hardware architecture of the Soft-output CANcellation (SCAN) algorithm used to decode polar codes is presented. This codes achieve the capacity of various communication channels for infinite code-lengths. The proposed design allows to obtain higher data rate than other solutions, as well as less decoding iterations. In the second paper a real-time FPGA module for automatic audio indexing is presented. It is based on the Mel-Frequency Cepstral Coefficients (MFCC) features. The Xilinx System Generator tool was used for implementation. Experiments proved that the system is able to provide an 80% classification accuracy for 4 music genres. In the last paper an IEEE-802.11a/g orthogonal frequency-division multiplexing receiver block for wireless communication systems is presented. It was implemented on CGRA processor/coprocessor model and synthesized for an FPGA device. The authors report speed-ups from x2.8 to x9.3 over RISC processors solutions.

关键词： Arrays Field programmable gate arrays Array signal processing Hardware Real-time systems Indexing

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Millimeter Wave Radar image Denoising with Complex Nonseparable Oversampled Lapped Transform 9

Millimeter Wave Radar Image Denoising with Complex Nonsepara...

引用

9th Annual Summit and conference of the Asia-Pacific-signal-and-Information-processing-Association (APSIPA ASC)

作者： Nagayama, Satoshi Muramatsu, Shogo Yamada, Hiroyoshi Sugiyama, Yuuichi Niigata Univ Grad Sch Sci & Technol Niigata Japan Niigata Univ Fac Engn Niigata Japan FUJITSU TEN LTD Kobe Hyogo Japan

ISBN: (纸本)9781538615423

In this work, we propose using Complex Nonseparable Oversampled Lapped Transform (CNSOLT) as a sparse representation method for denoising of complex radar image. CNSOLT is an image transform which is an extended version of the existing Nonseparable Oversampled Lapped Transform to the complex number field, and simultaneously satisfies non-separabe, redundant, linear-phase, and compact-support property. The lattice structure is able to constitute a Parseval tight frame with redundancy of rational numbers, and it is possible to design a dictionary with directional atomic images. In this work, we propose an image restoration method combining CNSOLT and an iterative shrinkage/thresholding algorithm (ISTA) modified for complex-valued signals. The performance evaluation is conducted through denoising of complex radar images. We also compare the performance with that of the complex K-SVD as a reference method.

关键词： Dictionaries image restoration Transforms Redundancy Radar imaging Noise reduction

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