检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

2,186 篇 会议
23 篇 期刊文献
5 册 图书

馆藏范围

2,214 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,307 篇 工学
- 756 篇 计算机科学与技术...
- 597 篇 电气工程
- 404 篇 信息与通信工程
- 390 篇 软件工程
- 133 篇 电子科学与技术（可...
- 114 篇 光学工程
- 99 篇 生物医学工程（可授...
- 75 篇 仪器科学与技术
- 59 篇 控制科学与工程
- 56 篇 测绘科学与技术
- 42 篇 机械工程
- 25 篇 生物工程
- 21 篇 轻工技术与工程
- 16 篇 化学工程与技术
- 13 篇 航空宇航科学与技...
- 11 篇 材料科学与工程（可...
- 10 篇 力学（可授工学、理...
985 篇 理学
- 590 篇 数学
- 530 篇 物理学
- 66 篇 统计学（可授理学、...
- 49 篇 系统科学
- 30 篇 生物学
- 18 篇 化学
365 篇 医学
- 351 篇 临床医学
- 32 篇 基础医学(可授医学...
- 28 篇 特种医学
- 27 篇 药学(可授医学、理...
46 篇 管理学
- 30 篇 管理科学与工程(可...
- 20 篇 图书情报与档案管...
15 篇 法学
- 10 篇 法学
7 篇 军事学
4 篇 农学
2 篇 艺术学
1 篇 经济学
1 篇 教育学
1 篇 文学

主题

406 篇 wavelet transfor...
313 篇 discrete wavelet...
273 篇 image coding
181 篇 image processing
177 篇 wavelets
160 篇 signal processin...
116 篇 wavelet transfor...
108 篇 image compressio...
101 篇 image reconstruc...
96 篇 wavelet analysis
87 篇 feature extracti...
82 篇 signal processin...
79 篇 image segmentati...
71 篇 watermarking
71 篇 image resolution
66 篇 noise reduction
65 篇 filter bank
65 篇 psnr
65 篇 discrete wavelet...
63 篇 wavelet

机构

7 篇 rice univ dept e...
6 篇 rice univ housto...
5 篇 maharishi school...
5 篇 department of el...
5 篇 swiss fed inst t...
4 篇 rice univ dept m...
4 篇 swiss fed inst t...
4 篇 rice univ dept e...
3 篇 univ arizona col...
3 篇 mks imaging tech...
3 篇 centre of resear...
3 篇 cnr iroe nello c...
3 篇 school of scienc...
3 篇 univ illinois de...
3 篇 indian inst tech...
3 篇 texas a&m univ c...
3 篇 purdue univ west...
3 篇 mohammed bin ras...
3 篇 tel aviv univ sc...
3 篇 polytech univ br...

作者

19 篇 unser m
9 篇 baraniuk r
8 篇 blu t
8 篇 alparone l
8 篇 choi h
7 篇 gholamreza anbar...
7 篇 ebrahimi t
7 篇 hasan demirel
6 篇 vetterli m
6 篇 ramchandran k
6 篇 do mn
5 篇 averbuch az
5 篇 demirel hasan
5 篇 baronti s
5 篇 jones kj
5 篇 aldroubi a
5 篇 cohen l
5 篇 anbarjafari ghol...
5 篇 olmo g
5 篇 jin gf

语言

2,125 篇 英文
64 篇 土耳其文
15 篇 中文
10 篇 其他

检索条件"任意字段=Conference on Wavelet Applications in Signal and Image Processing VII"

共 2214 条记录，以下是1931-1940 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Complex Discrete wavelet Transform based motion estimation for vision-based tracking of targets

Complex Discrete Wavelet Transform based motion estimation f...

引用

European signal processing conference (EUSIPCO)

作者： Sener Yilmaz Mete Severcan Image Processing Department ASELSAN Inc. Ankara Turkey Department of Electrical and Electronics Engineering The Middle East Technical University Ankara Turkey

For tracking applications, the estimation of the “true” motion vector is crucial. The Complex Discrete wavelet Transform (CDWT) based motion estimation algorithm developed by Magarey and Kingsbury produced superior results for the estimation of the dense flow field. In this work, the use of the CDWT-based motion estimation algorithm for the vision-based tracking of targets has been evaluated. First, a comparison of the results of the CDWT-based ME algorithm with the results of the Lucas and Kanade's (LK) and Horn and Schunk's (HS) motion estimation algorithms is performed. Second, the tracking performances are compared for the cases of CDWT-based and LK-based flow fields. Lastly, the tracking performance of the proposed tracker is evaluated by using a number of test sequences and is compared to the Correlation and Mean Shift Tracker. It is observed that it can successfully track various different targets and is robust to changes of the target signature.

关键词： Target tracking Motion estimation Discrete wavelet transforms Computer vision Estimation

来源：评论

学校读者我要写书评

暂无评论

Biologically-inspired video enhancement method for robust shape recognition

Biologically-inspired video enhancement method for robust sh...

引用

International conference on Communications, signal processing, and their applications (ICCSPA)

作者： Saman Poursoltan Russell Brinkworth Matthew Sorell University of Adelaide Australia

The way image sequences are encoded by technological systems, that is video, is fundamentally tied to the way in which the human eye and brain interpret images and motion. This includes such aspects as resolution, colour, dynamic range, frame rates and spatial and temporal compression techniques. On the contrary, object identification algorithms are commonly based on single image analysis, such as the extraction of a single video frame from a sequence. This mismatch of, in particular, temporal processing paradigms means that most object analysis algorithms are not well suited to the data with which they are presented. In order to bridge this gap we investigate the temporal preconditioning of video data through a biologically-inspired vision model, based on multi-stage processing analogous to the vision systems of insects. In doing so, we argue that such an approach can lead to improved object identification through the enhancement of object perimeters and the amelioration of lighting and compression artefacts such as shadows and blockiness.

关键词： Shape Adaptation models wavelet transforms Biological system modeling Machine vision Insects

来源：评论

学校读者我要写书评

暂无评论

Application of wavelet Packet and image processing to Fault Diagnosis for ***

Application of Wavelet Packet and Image Processing to Fault ...

引用

2010 Chinese Control and Decision conference

作者： Yong Xia,Feng Geng,Guiyou Hao,Zhibing Ni,Xinhan Hu Equipment Research Institute of Second Artillery Group Beijing 100085

There are few applications of image processing technology to diagnosing and state monitoring for internal combustion(I.C.) engines,which is discussed in detail in this *** time-frequency distribution images of cylinder head vibration signals are gotten by decomposing them with wavelet packet *** is the first time that we look at time-frequency distribution images from the point of *** on which,a new method that applying image processing technology to diagnosing and state monitoring for internal combustion engines is presented in this paper.A valve fault diagnosis model is set up by image matching,which is realized on a four-stroke,six cylinder diesel *** the same time,some notes are presented in this *** has been proved that it is of no good effect to diagnose with histograms of time-frequency images generated by cylinder head vibration signals that have been processed with wavelet packet *** results show that this method has a clear physical meaning and is of good engineering practicability,feasibility,good precision and fast speed.

关键词： image processing wavelet Analysis Time-Frequency Distribution image Vibration signal

来源：评论

学校读者我要写书评

暂无评论

applications of CS based spectrum recovery in hyperspectral images

Applications of CS based spectrum recovery in hyperspectral ...

引用

International conference on signal processing Proceedings (ICSP)

作者： Jianying Sun Qunbo Lv Jihao Yin Academy of Opto-Electronics Chinese Academy of Sciences Beijing China Image Processing Center Beihang University Beijing China

ISBN: (纸本)9781479921898

In this paper, we consider the question regarding high spectral redundancy in hyperspectral image (HSI) which causes problems of storage as well as transmission. Efficient spectrum sampling and recovery approaches are needed. This paper addresses the application of compressed sensing (CS) based spectrum recovery in spectra and HSIs. We firstly analyze the sparsity of spectra. Then we design the appropriate processes of spectrum recovery from efficiency and speed aspects. The proposed strategy was tested using the spectral data from USGS dataset and an AVIRIS HSI data. The experiments demonstrate that it results in a high reconstruction rate and low mean square errors compared with traditional interpolation method. Besides, the reconstructed HSIs have been applied into target detection to show the feasibility and applicability, illustrating the spectrum recovery's superiority.

关键词： Hyperspectral imaging image reconstruction Interpolation Vectors wavelet transforms signal processing algorithms

来源：评论

学校读者我要写书评

暂无评论

Recognition of Hybrid Digital Watermarking Techniques using Digital image processing using Deep Learning Techniques 2

Recognition of Hybrid Digital Watermarking Techniques using ...

引用

2nd International conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023

作者： Indira, Chilumala Noorullah, R.M. Balguri, Praveen Kumar Pinisetty, Sowjanya Krishna Institute of Aeronautical Engineerring Department of Computer Science and Engineering Dundigal Hyderabad India Institute of Aeronautical Engineerring Department of Aeronautical Engineering Dundigal Hyderabad India University of Electronic Science and Technology of China Institute of Fundamental and Frontier Science Chengdu China

ISBN: (纸本)9798350325799

Digital watermarking is the procedure to identify the source and creator of the data. This is a form of digital media marker such as video, audio or image format. It helps to protect the data from various external unauthorized access. This is done through embedded digital information in the carrier signal to identify ownership and copyright protection. Security and privacy concerns need to be improved due to the rapid increase in the transmission and receiving of digital data. Various sectors such as the navy, military, intelligence, and police are sending and receiving numerous data through online mode. The existing system utilizes Arnold map with QWT-DCT techniques which are unable to obtain invisibility in attack detection. To overcome the limitations of the existing system the proposed system is implemented. They are highly confidential and need to be secured and protected thus hybrid digital watermarking techniques such as nested forms of watermarking are employed. If the third parties tend to make any modification, then it is termed as an attack. The removal of digital watermarking by third parties through certain modifications are denoted through copyright protection application. For security applications and to avoid various types of attacks, Discrete wavelet Transform (DWT) and Non-sampled Contourlet Transform (NSCT) are employed. Security and privacy is obtained through the Quaternion Fourier Transform (QFT) based algorithm with human speech recognition. The pixel displacement with pixel encryption is enhanced to save the privacy of images. Digital watermarking requires security, robustness, watermarking keys and computational cost parameter. Thus to protect the data by neglecting various conventional attacks, digital watermarking techniques are implemented through deep convolutional neural networks. © 2023 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Rapid prototyping of three-dimensional transform for medical image compression

Rapid prototyping of three-dimensional transform for medical...

引用

International Symposium on signal processing and Its applications (ISSPA)

作者： Noor Huda Ja'afar Afandi Ahmad Abbes Amira Department of Computer Engineering Universiti Tun Hussein Onn Malaysia (UTHM) Johor Malaysia Department of Electrical Engineering College of Engineering Qatar University Doha Qatar

ISBN: (纸本)9781467303811

This paper presents the design and implementation of three-dimensional (3-D) Haar and Daubechies with transpose based method for medical image compression. Due to the separability property of the multi-dimensional Haar and Daubechies, the proposed architecture has been implemented using a cascade of three N-point one-dimensional (1-D) Haar/Daubechies and two transpose memories for a 3-D volume of N×N×N suitable for real-time 3-D medical imaging applications. Two architectures were synthesised using VHDL and implemented on Altera ® Cyclone II (EP2C15AF484C6) field programmable gate array (FPGA). Experimental results and an analysis of the area, power consumption and maximum frequency are discussed in this paper.

关键词： Computer architecture Biomedical imaging wavelet transforms image coding Power demand Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

An image Watermarking Algorithm Based on Energy Scheme in the wavelet Transform Domain

An Image Watermarking Algorithm Based on Energy Scheme in th...

引用

International conference on image, Vision and Computing (ICIVC)

作者： Jinhua Liu School of Mathematics and Computer Science Shangrao Normal University Shangrao China

ISBN: (纸本)9781538649923

With the increasing demands of copyright protection, digital watermarking has been paid more and more attention. In the design of a watermarking method, the modeling of signal by a general parametric family of statistical distributions plays an important role in many image watermarking applications. In this paper, the probability density function of wavelet coefficients is modeled by the generalized Gaussian distribution (GGD), and the decision threshold is obtained by the Neyman-Pearson (NP) criterion. In the procedure of watermark embedding, the energy of image block is considered in the watermark embedding. Only those blocks whose energy exceeds a predetermined threshold are used to embed the watermark data. Its improved robustness is due to embedding in the significant wavelet coefficients based on the energy scheme and control of its strength factor from the variance of coefficient. Experimental results demonstrate that the effectiveness of the presented watermarking and its robustness against common image processing and some kinds of geometric attacks.

关键词： Watermarking Robustness wavelet coefficients Discrete wavelet transforms Gaussian distribution

来源：评论

学校读者我要写书评

暂无评论

A Comparison of x-lets in Denoising cDNA Microarray images

A Comparison of x-lets in Denoising cDNA Microarray Images

引用

IEEE International conference on Acoustics, Speech and signal processing

作者： Rouzbeh Shams Hossein Rabbani Saeed Gazor Electrical & Computer Engineering Department Isfahan University of Technology Isfahan Iran Biomedical Engineering Department Medical Image & Signal Processing Research Center Isfahan University of Medical Science Isfahan 81745319 Iran Electrical & Computer Engineering Department Queen's University Kingston Canada

ISBN: (纸本)9781479928941

Microarray technology has become a power tool in the field of bioinformatics. It is used to measure gene expression levels and similar to any other image capturing processes is prone to noise. There are different kinds of noise, during preparation, hybridization and scanning in microarray images which usually are modeled by Gaussian noise. Since introduction of wavelets in 1970s, many more forms and extensions of this transform have been developed and used, such as stationary wavelet transform (SWT), complex wavelet transform (CWT), curvelet transform (CURV) and contourlet transform (CNT). By developing of more sparse transforms, it is important to have a perspective of how efficient the transforms are in different applications, such as microarray image analysis. In this paper, we compare the efficiency of common sparse transforms including ordinary discrete wavelet transform (DWT), SWT, CWT, CURV, CNT, Contourlet-SD decomposition, steerable pyramid (STP) and shearlet transform (SHR) for microarray image denoising. Therefore after converting microarray image into x-let transform, BayesShrink method, soft and hard thresholding are used to perform denoising of these images. Both local and general thresholds are calculated for each subband in order to evaluate the effect of incorporating intrascale dependency on top of sparsity property in statistical modeling of x-let's coefficients. Our simulation results show that CWT and SHR outperforms the others when using global thresholding and SWT is the preferred transform when using local thresholding. Although STP and SHR have better performance for some criteria like structural similarity (SSIM) index, but CWT is faster.

关键词： microarray denoising x-let transform wavelet Noise reduction Transform Microarray wavelets Standard Widget Toolkit Electric tools images SHIELDED PAIR global thresholding Local threshold

来源：评论

学校读者我要写书评

暂无评论

Random cascades of Gaussian scale mixtures and their use in modeling natural images with application to denoising

Random cascades of Gaussian scale mixtures and their use in ...

引用

IEEE International conference on image processing

作者： M.J. Wainwright E.P. Simoncelli A.S. Willsky Laboratory for Information & Decision Systems Electrical Engineering & Computer Science Massachusetts Institute of Technology USA Center for Neural Science and Courant Institute of Mathematical Sciences New York University USA

ISBN: (纸本)0780362977

Multiresolution representations play an important role in image processing and computer vision, as well as in modeling stochastic processes. We have developed a semi-parametric class of non-Gaussian multiscale statistical processes defined by random cascades on wavelet trees. This model class is rich enough to accurately capture the remarkably regular non-Gaussian features of natural images, but sufficiently structured to permit estimation of the underlying state variables. We showed that our models accurately fit both the marginal and joint histograms of wavelet coefficients from natural images. We developed a Newton-like method for exact MAP state estimation that exploits fast algorithms for tree estimation, and hence is very efficient. applications of this algorithm to denoising of both 1D signals and natural images were presented. The GSM-tree model class is related to a number of previous approaches to image coding and denoising.

关键词： State estimation Noise reduction image resolution signal resolution image processing Computer vision Stochastic processes Histograms wavelet coefficients image coding

来源：评论

学校读者我要写书评

暂无评论

Evaluation of sparsifying algorithms for speech signals

Evaluation of sparsifying algorithms for speech signals

引用

International conference on Computer and Communication Engineering, ICCCE

作者： Liban A. Kassim Othman O. Khalifa T. S. Gunawan Faculty of Engineering International Islamic University Malaysia Kuala Lumpur Malaysia

Sparse representations of signals have been used in many areas of signal and image processing. It has also played an important role in compressive sensing algorithms since it performs well in sparse signals. A sparse representation is one in which small number of coefficients contain large proportion of the energy. Sparsity is important also in speech compression and coding, where the signal can be compressed in pre-processing stages. It leads to efficient and robust methods for compression, detection denoising and signal separation. The objective of this paper is to evaluate several transforms which is used to sparsify the speech signals. Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT) and Discrete wavelet Transform (DWT) will be compared and evaluated based on Gini Index. Sparsity properties and measures will be reviewed in this paper. Finally, sparse applications in speech compression and compressive sensing will be discussed.

关键词： Discrete cosine transforms Discrete wavelet transforms Indexes image coding Speech

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共222页 << < 190 191 192 193 194 195 196 197 198 199 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：