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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791-800 订阅

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Compressive information acquisition with hardware impairments and constraints: A case study

Compressive information acquisition with hardware impairment...

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IEEE International conference on Acoustics, Speech and signal processing

作者： S. Gopalakrishnan T. Moy U. Madhow N. Verma University of California Santa Barbara Department of ECE 93106 USA Princeton University Department of EE NJ 08544 USA

ISBN: (纸本)9781509041183

Compressive information acquisition is a natural approach for low-power hardware front ends, since most natural signals are sparse in some basis. Key design questions include the impact of hardware impairments (e.g., nonlinearities) and constraints (e.g., spatially localized computations) on the fidelity of information acquisition. Our goal in this paper is to obtain specific insights into such issues through modeling of a Large Area Electronics (LAE)-based image acquisition system. We show that compressive information acquisition is robust to stochastic nonlinearities, and that appropriately designed spatially localized computations are effective, by evaluating the performance of reconstruction and classification based on the information acquired.

关键词： Compressed sensing stochastic nonlinearities image acquisition low-power front ends hardware impairments information gathering image samples Compressed sensing Computer hardware nonlinearity physical impairment

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Learning Fast Sparsifying Overcomplete Dictionaries

Learning Fast Sparsifying Overcomplete Dictionaries

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European signal processing conference

作者： Cristian Rusu John Thompson Institute for Digital Communications University of Edinburgh

In this paper we propose a dictionary learning method that builds an overcomplete dictionary that is computationally efficient to manipulate, i.e., sparse approximation algorithms have sub-quadratic computationally complexity. To achieve this we consider two factors (both to be learned from data) in order to design the dictionary: an orthonormal component made up of a fixed number of fast fundamental orthonormal transforms and a sparse component that builds linear combinations of elements from the first, orthonormal component. We show how effective the proposed technique is to encode image data and compare against a previously proposed method from the literature. We expect the current work to contribute to the spread of sparsity and dictionary learning techniques to hardware scenarios where there are hard limits on the computational capabilities and energy consumption of the computer systems.

关键词： Dictionaries Sparse matrices signal processing algorithms Machine learning Transforms Linear programming Approximation algorithms

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design and implementation of blowfish algorithm using reconfigurable platform

Design and implementation of blowfish algorithm using reconf...

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International conference on Recent Innovations in signal processing and Embedded Systems (RISE)

作者： Shraphalya B. Nalawade Dhanashri H. Gawali Department of Electronics and Telecommunication Engineering Savitribai Phule Pune University Pune

ISBN: (纸本)9781509047611;9781509047604

Security is an important issue during communication and data transmission. There are many ways to provide security. One method to ensure security is the use of cryptographic algorithms such as DES, AES, RC5, Blowfish etc. Cryptography is a method used for encoding the data which may be hacked by the unauthorized person. In this paper FPGA based design and implementation of Blowfish algorithm has been proposed. For RTL coding VHDL has been used and Virtex-5XC5VLX50T FPGA device used as a reconfigurable platform for implementation of Blowfish algorithm. The aim of this system is to evaluate performance of Blowfish algorithm on reconfigurable platform in terms of power consumption and throughput. For testing purpose image data and ECG data has been used as plaintext.

关键词： Encryption Field programmable gate arrays Throughput Power demand signal processing algorithms

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design of high secure visual secret sharing scheme for gray scale images

Design of high secure visual secret sharing scheme for gray ...

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International conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： Javvaji V. K. Ratnam P. Ramana Reddy T. Sreenivasulu Reddy Department of Electronics and Communication Engineering Jawaharlal Nehru Technological University Anantapur Ananthapuramu Andhra Pradesh India Department of Electronics and Communication Engineering Sri Venkateswara University Tirupati Andhra Pradesh India

ISBN: (纸本)9781509044436;9781509044429

In this paper, a (k, n)visual secret sharing scheme using Boolean and shift operations that provides high security to the secret image is designed. An algorithm is proposed to encode the original secret image to generate n share images using simple Boolean XOR and circular shift operations. The secret data cannot be revealed with any k - 1 or less number of share images. The security is provided to the original secret by encrypting this secret with a random image and distinct authentication id used for each share during generation of shares. The size of generated share images is same as that of original image and requires no pixel expansion. The proposed scheme eliminates security issues observed in the related techniques. Experimental results confirm the feasibility and security of the proposed technique.

关键词： Cryptography Visualization image reconstruction Stacking conferences Authentication

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A Highly Efficient and Comprehensive image processing Library for C++-based High-Level Synthesis

A Highly Efficient and Comprehensive Image Processing Librar...

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FSP 2017;Fourth International Workshop on FPGAs for Software Programmers

作者： M. Akif Oezkan Oliver Reiche Frank Hannig Juergen Teich Friedrich-Alexander University Erlangen-Nurnberg (FAU)

ISBN: (纸本)9783800744435

Field Programmable Gate Arrays (FPGAs) are proved to be among the most suitable architectures for image processing applications. However, accelerating algorithms using FPGAs is a time-consuming task and needs expertise. Whereas the recent advancements in High-Level Synthesis (HLS) promise to solve this problem, today's HLS tools require apt hardware descriptions of algorithms to be able to provide favorable implementations. A solution is developing highly parameterizable and optimized HLS libraries for the fundamental image processing components. Another solution is providing a higher level of abstraction in the form of a Domain-Specific Language (DSL) and a corresponding efficient back end for hardware design. In this paper, we provide a highly efficient and parameterizable C++ library for image processing applications, which would be the cornerstone for both approaches. In our library, nodes of a stream-based data flow graph can be described as C++ objects for specified functions, and the whole application can be efficiently parallelized just by defining a global constant as the parallelization factor. Moreover, the key hardware design elements, i. e., line buffers and sliding windows with different border handling patterns, can be utilized individually to ease the design of more complicated applications.

关键词： level of abstraction computer hardware design image processing hue lightness saturation Libraries high level synthesis Field programmable gate arrays data flow graphs Cornerstones Abstraction algorithms

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The Application of Algebraic Geometry Theory in Computer image processing

The Application of Algebraic Geometry Theory in Computer Ima...

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International conference on Computer Technology, Electronics and Communication (ICCTEC)

作者： Lixiao Guo Ningbo Dahongying University Ningbo Zhejiang

ISBN: (纸本)9781538657850

This paper introduces a new mathematical tool of geometric algebra in computer vision research problems in geometric algebra as a new mathematical system combining the geometry and algebraic properties. In multidimensional signal vector processing and geometry, geometry modeling and geometric design has outstanding advantages in calculation. Based on the mathematical framework of geometric algebra, this paper focuses on computer vision 3D reconstruction after carrying out some exploratory researches, mainly studies the color image matching, the two views of the unipolar geometry and camera internal parameter calibration.

关键词： Algebra Color image color analysis Geometry Transforms Cameras image reconstruction

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Standardizing pre-processing for digital skin lesion image analysis

Standardizing pre-processing for digital skin lesion image a...

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International conference on Bio-engineering for Smart Technologies (BioSMART)

作者： Nikhil J. Dhinagar Mia Wilson Mehmet Celenk School of Electrical Engineering and Computer Science Ohio University Athens OH USA

Pre-processing steps are critical in automated image analysis systems developed to aid in diagnosis of skin lesion images. The main areas of concern include, but are not limited to, hair on the skin, variations in illumination and skin tone, and alignment of successive skin images. These artifacts can partially or completely obstruct a lesion being analyzed causing errors in classification or diagnosis. This paper focuses on an independent quantitative evaluation of an open source hair removal algorithm [1]. The different input parameters to the algorithm were tested to determine their optimal values. Percent error and signal to noise ratio are utilized as the error metrics for the experimental results. Other essential pre-processing steps are considered and provided at the end of this paper.

关键词： Hair Skin Lesions signal to noise ratio image analysis Algorithm design and analysis Classification algorithms

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Multiple-input multiple-output (MIMO) MRI: An efficient pulse design algorithm to combine parallel excitation and parallel imaging

Multiple-input multiple-output (MIMO) MRI: An efficient puls...

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IEEE International conference on Acoustics, Speech and signal processing

作者： Xianglun Mao David J. Love Joseph V. Rispoli Thomas M. Talavage School of Electrical & Computer Engineering Purdue University IN 47907 USA Weldon School of Biomedical Engineering Purdue University IN 47907 USA

ISBN: (纸本)9781509041183

Magnetic resonance imaging (MRI) plays a critical role in medicine today. Over the last few years, there has been an interest in techniques that use multiple coils on one side of the imaging system such as parallel excitation or parallel imaging to improve performance in high-field MRI. In this paper, we explore the use of multiple coils at both the transmit and receive sides for enhanced imaging. We term this a multiple-input multiple-output (MIMO) MRI system. We use tools from the well-developed MIMO communication models and propose a novel radio-frequency (RF) pulse design method for multiple coils. We show that our MIMO MRI techniques can provide an improved signal-to-noise ratio (SNR) in the reconstructed image.

关键词： MRI MIMO parallel excitation parallel imaging RF pulse design parallel excitation multiple input multiple output systems Magnetic Resonance Imaging C7orf49 gene RF pulse multicoil signal to noise ratios design Algorithm

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A Novel Hybrid Network for H&N Organs at Risk Segmentation 20

A Novel Hybrid Network for H&N Organs at Risk Segmentation

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5th International conference on Biomedical signal and image processing, ICBIP 2020

作者： Cheng, Ze Sen Zeng, Tian Yu Huang, Si Juan Yang, Xin Sun Yat-sen University Cancer Center State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy RM 549 Dong Feng East RD 651# Guangzhou Guangdong510060 China Department of Electronic and Information Engineering of South China University of Technology Tianhe District 381 Wushan Road Guangzhou Guangdong China

ISBN: (纸本)9781450387767

In this paper, we find a network which can achieve better result than the state of the art for Head and Neck Organ at Risks (OARs) segmentation. At first, we enumerate the popular networks, and sum up their characteristic. We extract the main components from these popular networks and we design experiment to evaluate these components. We split the experiment into two stage. At the first stage experiment, we try to find out which components and constructions can let the network achieve better result than baseline model, Unet, for H&N OAR segmentation. After finding out the useful components and constructions, we try to mix them up to build a novel network which absorbs all their merits. At last, we get a hybrid network, Attention-W-net which gets the best result and defeat the state of the art. All networks are evaluated on 16th CSTRO conference H&N OAR segmentation competition dataset. © 2020 ACM.

关键词： image segmentation

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Message from the general co-chairs

Message from the general co-chairs

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International Symposium on Low Power Electronics and design (ISLPED)

作者： David Garrett Chia-Lin Yang Broadcom United States of America National Taiwan University China

ISBN: (纸本)9781509060245

On behalf of the Organizing Committee, it is our pleasure to welcome you to the 22nd IEEE/ACM International Symposium on Low Power Electronics and design (ISLPED 2017) in Taipei, Taiwan. The conference is being held on the beautiful campus of National Taiwan University (NTU) from July 24–26, 2017. Taiwan plays an enormous role in our field of semiconductors, with over 15% of worldwide semiconductors sales coming from an island just over 400km long. Our conference has a unique mix of topics attacking power and energy optimization at all levels of the design space from circuit design, to high-level architectures, as well as Software optimizations. The ideas here can help run your electronics on smaller batteries, or push the density of data centers.

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

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