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检索条件"任意字段=International Congress on Image and Signal Processing, BioMedical Engineering and Informatics"

共 2037 条记录，以下是1641-1650 订阅

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Adaptive Masking System Based on Speech Intelligibility Index

Adaptive Masking System Based on Speech Intelligibility Inde...

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international congress on image and signal processing, biomedical engineering and informatics

作者： Jingsai Jiang Ye Li Qiuyun Hao Peng Zhang Yanhong Fan Xiaofeng Ma H. V. DAVYDAU Shandong Computer Science Center (National Supercomputer Center in Jinan) Shandong Provincial Key Laboratory of Computer Networks China Belarusian State University of Informatics and Radio electronics Minsk Belarus

ISBN: (纸本)9781509037117

This paper presents a speech protection system based on adaptive masking. The system can adaptively adjust the masking noise volume according to the Speech Intelligibility Index (SII) proposed in ANSI S3.5-1997. The volume of the masking noise is minimized by limiting SII to a low level at which the speech to be protected can not be understood. This method can effectively reduce excess masking noise to obtain good acoustic comfort for listeners inside the protection region while preventing eavesdroppers from stealing the speech information. Experimental results show that the effect of the proposed system outperforms the traditional sound masking systems in masking efficiency and flexibility.

关键词： Speech signal processing Acoustic masking SII Speech leak protection Voice information security White noise

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A digital hardware platform for RF PA digital predistortion algorithms

A digital hardware platform for RF PA digital predistortion ...

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international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Congzheng Zhao Xianxun Yao School of Electronics and Information Engineering Beihang University Beijing China

ISBN: (纸本)9781509037117

Digital pre-distortion technique is one of the most crucial techniques used to solve frequency distortion in wireless communication links, which is due to nonlinear behavior of devices like power amplifier and limits frequency bandwidth of signal. This paper introduces a multi-function digital platform employed to verify and test different digital pre-distortion algorithms. The digital platform is mainly comprised a FPGA chip Xilinx Zynq-7000 (XC7Z030), an integrated transceiver chip ADI AD9361, and external digital interfaces such as HDMI, Ethernet network and fiber-optical. Processes needed by digital pre-distortion including A/D, D/A, and digital down conversion can be achieved in real time adjusted by software. Its working frequency bandwidth is from 70MHz to 6GHz, with instant frequency bandwidth up to 56MHz. The final pre-distortion results can be exhibited in video with graphical form.

关键词： Hardware Field programmable gate arrays Nonlinear distortion Radio frequency signal processing algorithms Power amplifiers

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Multi-structure feature fusion for face recognition based on multi-resolution exaction

Multi-structure feature fusion for face recognition based on...

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international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Xiaoli Ruan Shunfang Wang Shenshen Liu School of Information Science and Engineering Yunnan University Kunming China

ISBN: (纸本)9781509037117

In order to reduce the influence of illumination, pose and other external factors on the face recognition, a new multi-structure feature fusion method based on different resolutions is proposed in this paper. This method can extract facial features under different resolutions and fuse facial features in various structures to enhance the information content of the features. Specifically, first, the image is decomposed into three kinds of resolutions with different scales to form the multi-resolution image sequences, with Gabor wavelets used to extract the facial features of each image. Second, PCA is applied to reduce the dimension of the obtained high dimensional features. Third, every two or three features of the multi-resolution images are fused in various structures after they are extracted in three different scales respectively. Finally, linear discriminant analysis (LDA) method is utilized to train one of the most discriminative classifier after the features of dimensionality reduction are obtained. The experimental results based on the ORL facial database and YALE facial database showed that the proposed algorithm is highly effective and robust to treat the illumination and facial expression.

关键词： Feature extraction Face recognition image resolution Principal component analysis Face Classification algorithms Facial features

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Emitter Identification Based on the Structure of Unintentional Modulation

Emitter Identification Based on the Structure of Unintention...

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international congress on image and signal processing, biomedical engineering and informatics

作者： Xiaohu Ru Chao Gao Zheng Liu Zhitao Huang Wenli Jiang College of Electronic Science and Engineering National University of Defense Technology

ISBN: (纸本)9781509037117

Unintentional modulation (UIM), which is unavoidable and unique to individual emitters, can be used to reliably realize emitter identification. Previous identification methods extract features from either some parts of the signal, ignoring the UIM on the other parts, or immediately the whole signal, resulting in heavy computational loads. In this paper, we take the structure of UIM into consideration, and propose a new feature extraction scheme. We first analyze the mechanism of UIM, realizing that the jitter frequency or intensity of UIM is time-varying throughout the signal. The parts of the signal with slow jitters are then located, in which the bandwidths of UIM are actually much smaller than the initial sampling rate;thus, down-sampling is applied to these parts. Lastly, features extracted from different parts are combined. Experiments on real-world data validate the superior recognition performance and computing speed of the proposed feature extraction scheme.

关键词： structure Emitter identification feature extraction unintentional modulation mechanism

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A multi-view fusion method for image retrieval

A multi-view fusion method for image retrieval

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international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Yang-ping Zhang Shi-bo Zhang Yuan-ting Yan School of Computer Science and Technology Anhui University HeFei China

ISBN: (纸本)9781509037117

Color histogram is an important technique for color image database indexing and retrieving. However, existing color based retrieval techniques are mainly designed for only extracting global or local feature, which cannot provide effective retrieval of images. In this paper, we propose a novel multi-view fusion method for image retrieval by combining the global color with salient regions color feature, which highlights the important characteristics of the salient regions without losing the background information. Firstly, HSV color histogram is quantified rationally as a global descriptor. Secondly, a salient region detection method is introduced to separate the salient regions and the background regions. After that, color histogram of the salient regions is applied to constitute a region-based descriptor. Finally, a CBIR system is designed by using an adaptive weighting method to combine these two descriptors. The relevant retrieval experiments on Corel-1000 show that the proposed approach brings better visual feeling than single feature retrieval, which exceeds at least 9%.

关键词： image color analysis Feature extraction Histograms image retrieval Dogs Computer science image edge detection

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High-quality intraoperative volume rendering in surgical navigation

High-quality intraoperative volume rendering in surgical nav...

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international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Qiwei Huang Shaoqiang Chen School of Mechanical Engineering & Automation Beihang University Beijing China

ISBN: (纸本)9781509037117

In the past thirty years, with the tremendous development of computer graphics, various techniques have been proposed to solve problem of medical images, like CT and MRI data, visualization[1][2]. These techniques include iso-surface rendering [3][4], volume ray casting[5][6], texture-based volume rendering and so on. Sometimes it is necessary to perform medical grinding work to cure a person in operation like otitis. The corresponding parts around ears in application cannot display on the screen like it disappeared in real world. This paper will present a basic surgical navigation framework and provide a method to display the medical data volume dynamic in surgical navigation system. The visualization technique is direct volume rendering that do not extract any polygon meshes from volumetric data and can easily implement on GPU by OpenGL shader program. It also employs a mask to control whether this part of input model should display on the screen. The mask is as the same dimensions as the input volumetric data. To eliminate the jagged edges and achieve iterative rate, a 3D Gaussian filter loaded in shader program executed by GPU (Graphics processing Unit).

关键词： Rendering (computer graphics) Navigation Surgery Three-dimensional displays Casting Fasteners biomedical imaging

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All-in-focus image reconstruction with depth sensing

All-in-focus image reconstruction with depth sensing

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international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Zhong-shan Sui Jun-shan Li Jing-bo Fan Xin-bo Ren Yan Li Ya-li Liu Department of Information Engineering Rocket Force University of Engineering Xi'an China Shanluo College Economics and Management Academy Shangluo

ISBN: (纸本)9781509037117

In order to reconstruct the all-in-focus image from a conventional camera, a spatially-varying defocus deblurring approach based on blur map and TV/L2 regularization was proposed. Firstly, lenticular defocus model was studied and analyzed, and the principle, characteristic and applicability of disk defocus model and Gaussian defocus model were generalized; Secondly, we modified the local contrast prior using edge properties, and combined it with the gradient of blurry edge to gain blur map, in addition, in order to decrease the noise of blur map and ambiguous edges, a guided filtering approach was also adopted to gain a better blur map; Finally, TV/L2 regularization method solved by an augmented Lagrangian method was employed to deblur the defocus image. The all-in-focus image is obtained using scale selection and image reconstruction. The experimental results based on both synthesized images and real images showed that the proposed approach can gain excellent all-in-focus images and the performance outperforms the state-of-the-art space-invariant methods and spatially-varying methods for defocus deblurring, and the all-in-focus images show a better visual effect.

关键词： image edge detection image reconstruction image restoration Analytical models Filtering Apertures Estimation

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SIFT-Based Multi-Frame Super Resolution for 250 Million Pixel images

SIFT-Based Multi-Frame Super Resolution for 250 Million Pixe...

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international congress on image and signal processing, biomedical engineering and informatics

作者： Katsuhisa Ogawa Yuri Yamaguchi Yutaro Iwamoto Xian-Hua Han Yen-Wei Chen Device Technology Development Headquarts Cannon Inc. College of Information Science and Engineering Ritsumeikan University

ISBN: (纸本)9781509037117

In this paper, we propose a SIFT-based multi-frame super resolution for 250 million pixel images. In the proposed method, we first use the SIFT operator to detect key points in each frame. Then we use a closest matching method to find the correspondence among multi-frame images. The corresponding key points are used to register multi-frame images to a reference image, which is randomly selected from the multi-frame images. After registration, we combine the aligned multi-frame images to form a high-quality and high-resolution image. We applied the proposed method to enhance the quality of 250 million pixel images, which is obtained by the Canon's 250Mpixel CMOS-image-sensor.

关键词： 250 million pixel images super resolution multi-frame SIFT key points registration corresponding points

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Stable feature mining based object representation for tracking applications

Stable feature mining based object representation for tracki...

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international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Hong Lu Ke Gu Nanjing Institute of Technology Nanjing Jiangsu CN Nanyang Technological University Singapore Singapore SG

ISBN: (纸本)9781509037117

Tracking the object with stable features is an important and challenging task in real scenes where the object appearance constantly changes or is disturbed by the background etc. In this paper, a novel frame work of object representation and tracking based on stable feature mining is presented. Firstly, the object region is adaptively detected and then the peak contour of V color component histogram in the object region is extracted to calculate candidate and region peaks which are used for acquiring the number of clusters and further classifying the object appearance. Secondly, the connection subregions belonging to every cluster are described with observation and increment models, and subregions association between the object template and the current observation is then utilized to mine stable subregion pairs and get feature change ratios. Finally, stable subregion displacements are weighted fused to locate the object in the current frame, and the object template is updated in terms of average increment variations. Experimental results show the excellent performance of the proposed algorithm in cluster number adaptivity, robustness in stable feature mining and accurateness in object tracking.

关键词： image color analysis Feature extraction Robustness Histograms Object tracking Adaptation models Context

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Single Vector Hydrophone Positioning of Moving Sources Based on Virtual Array

Single Vector Hydrophone Positioning of Moving Sources Based...

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international congress on image and signal processing, biomedical engineering and informatics

作者： Chuang Han Jingwei Dong Guodong Li Chaofeng Lan Xiaoxia Guo The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science & Technology China School of Electrical and Electronic Engineering Harbin University of Science & Technology China

ISBN: (纸本)9781509037117

This paper proposed a high resolution algorithm using single vector hydrophone based on moving sources passing characteristic measuring system. The algorithm transfers the time domain result of the hydrophones into virtual array with spatial distribution characteristics and specified interval between array elements. With the virtual array, positioning with high resolution can be obtained by the algorithm MUSIC. In the paper, numerical simulation was implemented to analyze the performance of this positioning method on non-coherent sources and coherent sources. The output showed that virtual array had an analogical positioning result with actual array, which could be an effective positioning method.

关键词： virtual array vector hydrophone high resolution algorithm

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