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

3,011 篇 会议
87 篇 期刊文献
23 册 图书
5 篇 学位论文

馆藏范围

3,126 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,038 篇 工学
- 1,220 篇 计算机科学与技术...
- 1,067 篇 电气工程
- 552 篇 软件工程
- 537 篇 信息与通信工程
- 214 篇 电子科学与技术（可...
- 158 篇 光学工程
- 155 篇 生物医学工程（可授...
- 107 篇 仪器科学与技术
- 89 篇 测绘科学与技术
- 74 篇 控制科学与工程
- 60 篇 材料科学与工程（可...
- 58 篇 机械工程
- 37 篇 生物工程
- 23 篇 化学工程与技术
- 23 篇 轻工技术与工程
- 22 篇 航空宇航科学与技...
- 14 篇 动力工程及工程热...
- 13 篇 建筑学
1,405 篇 理学
- 873 篇 物理学
- 697 篇 数学
- 70 篇 统计学（可授理学、...
- 59 篇 系统科学
- 43 篇 生物学
- 27 篇 化学
509 篇 医学
- 493 篇 临床医学
- 83 篇 特种医学
- 40 篇 基础医学(可授医学...
- 33 篇 药学(可授医学、理...
69 篇 管理学
- 46 篇 管理科学与工程(可...
- 28 篇 图书情报与档案管...
16 篇 法学
10 篇 军事学
4 篇 农学
3 篇 艺术学
2 篇 经济学
2 篇 教育学
2 篇 文学
1 篇 哲学

主题

464 篇 wavelet transfor...
381 篇 image coding
343 篇 discrete wavelet...
274 篇 image processing
223 篇 signal processin...
193 篇 wavelets
171 篇 image compressio...
137 篇 wavelet transfor...
136 篇 image reconstruc...
118 篇 feature extracti...
115 篇 image segmentati...
110 篇 wavelet analysis
99 篇 signal processin...
86 篇 image resolution
85 篇 image analysis
76 篇 watermarking
74 篇 image enhancemen...
74 篇 transform coding
72 篇 discrete wavelet...
71 篇 wavelet

机构

9 篇 rice univ dept e...
6 篇 univ cambridge d...
5 篇 maharishi school...
5 篇 tel aviv univ sc...
5 篇 rice univ dept e...
5 篇 swiss fed inst t...
4 篇 rice univ dept m...
4 篇 univ of erlangen...
4 篇 natl. inst.s of ...
4 篇 duke univ dept e...
4 篇 polytech univ br...
4 篇 swiss fed inst t...
4 篇 the ohio state u...
4 篇 department of el...
4 篇 georgia inst tec...
4 篇 department of el...
4 篇 univ waterloo de...
4 篇 univ illinois be...
4 篇 univ. of florida...
3 篇 univ arizona col...

作者

20 篇 unser m
11 篇 baraniuk r
10 篇 alparone l
9 篇 blu t
9 篇 vetterli m
9 篇 choi h
8 篇 kingsbury n
8 篇 ramchandran k
8 篇 monro dm
7 篇 gholamreza anbar...
7 篇 ortega antonio
7 篇 ortega a
7 篇 ebrahimi t
7 篇 astola j
7 篇 hasan demirel
6 篇 averbuch az
6 篇 baronti s
6 篇 truchetet f
6 篇 do mn
6 篇 liu j

语言

3,023 篇 英文
70 篇 土耳其文
18 篇 其他
15 篇 中文

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

共 3126 条记录，以下是2951-2960 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：

View and rate scalable multiview image coding with depth-image-based rendering

View and rate scalable multiview image coding with depth-ima...

引用

International conference on Digital signal processing (DSP)

作者： Vladan Velisavljević Vladimir Stanković Jacob Chakareski Gene Cheung Deutsche Telekom Research and Development Laboratories Berlin Germany University of Strathclyde Glasgow UK Ecole Polytechnique Fédérale de Lausanne Switzerland National Institute of Information Tokyo Japan

“Texture plus depth” refers to the format where a sender encodes both texture and depth maps at multiple camera-captured viewpoints. Having received such a representation, the decoder can synthesize novel intermediate view images via depth-image-based rendering (DIBR), using as anchors the texture and depth maps of the two closest captured viewpoints. Ideally then, one would optimally allocate available source coding bits among the encoded texture and depth maps, such that the synthesized view distortion is minimized. However, in many practical application scenarios the precise rate constraint may either: i) be unknown at encoding time, or ii) it can take on multiple values for clients of heterogeneous connectivities. In this paper, we propose a flexible codec and an associated bit allocation strategy to address both of these scenarios. In particular, we first present an edge-adaptive wavelet multiview image codec capable of producing a scalable bitstream from which proper subsets can be extracted and decoded at different bit-rates. Given our scalable codec, we then propose a rate allocation algorithm that performs one of the following two actions. The algorithm will either incrementally increase the number of bits for encoding texture or depth maps of already encoded viewpoints, or it will introduce into the scalable representation new texture or depth maps of previously uncoded captured viewpoints. The incremental choice of either refining an existing view or introducing a new one is carried out one layer at a time, such that the associated rate-distortion tradeoff is locally optimized. By employing our novel bit allocation strategy the proposed coder outperforms the state-of-the-art H.264/SVC codec as well as the same wavelet-based coder when armed with a simple suboptimal bit allocation with the same rate allocated to each map, in all coding scenarios studied in our experiments. Furthermore, our coder can achieve an arbitrarily fine granularity of encoding bit r

关键词： Encoding Codecs Bit rate Static VAr compensators image coding Optimization Rendering (computer graphics)

来源：评论

学校读者我要写书评

暂无评论

Optimizing Compressed Sensing with Taylor Sunflower Algorithm: A Performance Analysis of Hybrid Techniques for Biomedical Imaging and Video Surveillance

Optimizing Compressed Sensing with Taylor Sunflower Algorith...

引用

Innovations in High Speed Communication and signal processing (IHCSP), International conference on

作者： Asha Rajiv Santosh Kumar S. Arul Antran Vijay Prabhat Sharma Ranjusha J P Prateek Aggarwal School of Sciences Physics & Electronics JAIN (Deemed to be University) Bangalore Karnataka India AIDS Vishwakarma Institute of Technology Pune India Department of Computer Science Engineering Karpagam College of Engineering Coimbatore India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of S&H Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India

ISBN: (数字)9798350368949

ISBN: (纸本)9798350368956

A powerful area that seeks to minimize the amount of space of signals that are compressible or sparse in a specific base representation that uses compressed recognizing in video streaming applications. A sparse signal provides a good approximation of the signal since the representation is sparse and the amplitude of the coefficient’s decays according to the power law. The process of projecting signals into a space with low dimensions results in measurement vectors. A sparse signal may be accurately reconstructed using the measurement vector. Imprecise or noisy data that may nevertheless be compressed and used for approximation purposes. images in the frequency or wavelet domain are suitable for Compressed Sensing because they are inherently compressible. Reconstructed images are of higher quality, and the compression ratio—the ratio of an image's pixel count to its measurement vector—has been reduced, enabling more precise reconstruction. Taylor SFO based CS is a two-stage optimization technique for picture compression and recovery that aims to enhance the quality of models with high correlation and low redundancy. An image that uses self-replication and 3D change to compress itself is first processed in the early phase. In the last step, the CS uses SSIM to recover pictures using an ensemble sparseness estimate and Taylor SFO parameters.

关键词： image coding wavelet domain Three-dimensional displays Frequency-domain analysis Biomedical measurement Streaming media Extraterrestrial measurements Vectors Noise measurement image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Fractal image processing and Analysis for Compression of Hyperspectral images

Fractal Image Processing and Analysis for Compression of Hyp...

引用

International conference on Computing and Networking Technology (ICCNT)

作者： Tripty Singh Tina Babu Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

Hyperspectral imaging is a technique in which the information is collecting and processing across an electromagnetic spectrum. Fractal image processing deals with various dimensions of an image. Hyperspectral analysis are applied on multiple frequency bands of images, and produces spatial and spectral information. HSI can elongate 390 to 700 nm i.e UV to infrared and near-infrared wavelength regions. This technique based system engenders narrow band() images of different wavelengths. By utilizing HIS, visualization can be elongated to invisible wavelengths. Hyperspectral based techniques have applications in various fields such as medical diagnosis, agriculture, food processing, remote sensing etc. In this project, the compression of hyperspectral images is considered. Present work involves Modified DCT-Discrete Cosine Transformation based image compression. Compared with the convention lossless compression techniques of the benchmark multi-component and hyperspectral (JPEG2000), the MOD-DCT lossless algorithm produces considerable reduce in compressed file size for beyond visible range. After implementation of Modified DCT for hyperspectral images high compression ratio was achieved.

关键词： image coding Hyperspectral imaging Discrete cosine transforms Quantization (signal) Fractals wavelet domain

来源：评论

学校读者我要写书评

暂无评论

image quality assessment model based on features and applications in face recognition

Image quality assessment model based on features and applica...

引用

IEEE International conference on signal processing, Communications and Computing (ICSPCC)

作者： Xiao-hua Chen Chun-zhi Li School Information & Engineering Huzhou Teachers College Huzhou China

Facial appearance changes because uncontrolled variations of facial appearances due to illumination, pose, expression, occlusion of non-cooperative subjects and subject-to-camera distance need to be handled to allow for successful recognition. This paper presents a novel image quality assessment model. The model is designed to reduce the influence which is caused by the degradation of facial image quality due to uncontrolled variations of facial appearances, and the degradation can lower the recognition performance. The model assesses the image quality from several aspects: (I) Occlusion measure. (ii) Face-to-camera distance measure. (Ill) Pose and expression measure.(IV) Uneven illumination measure. Then noisy score is calculated by the image quality assessment model while higher noisy score's images will be discarded for face recognition, the superior face images are selected by image quality assessment model to obtain best recognition result. Experimental results on CAS-PEAL face databases with varied uncontrolled facial appearances demonstrated that the proposed approach achieved satisfactory recognition rate.

关键词： Face Face recognition Databases Feature extraction Noise measurement Lighting Optical filters

来源：评论

学校读者我要写书评

暂无评论

An Efficient Algorithm for Compressed MR Imaging using Total Variation and wavelets

An Efficient Algorithm for Compressed MR Imaging using Total...

引用

26th IEEE conference on Computer Vision and Pattern Recognition (CVPR 2008), vol.2

作者： Shiqian Ma Wotao Yin Yin Zhang Amit Chakraborty Department of IEOR Columbia University New York NY USA Department of CAAM Rice University Houston TX USA Integrated Data Systems Siemens AG Corporate Research and Development Princeton NJ USA

Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a very limited number of samples. Because information such as boundaries of organs is very sparse in most MR images, compressed sensing makes it possible to reconstruct the same MR image from a very limited set of measurements significantly reducing the MRI scan duration. In order to do that however, one has to solve the difficult problem of minimizing nonsmooth functions on large data sets. To handle this, we propose an efficient algorithm that jointly minimizes the l{sub}1 norm, total variation, and a least squares measure, one of the most powerful models for compressive MR imaging. Our algorithm is based upon an iterative operator-splitting framework. The calculations are accelerated by continuation and takes advantage of fast wavelet and Fourier transforms enabling our code to process MR images from actual real life applications. We show that faithful MR images can be reconstructed from a subset that represents a mere 20 percent of the complete set of measurements.

关键词： signal processing algorithms image reconstruction image coding Compressed sensing Iterative algorithms Mathematics signal processing Magnetic resonance imaging Least squares methods Acceleration

来源：评论

学校读者我要写书评

暂无评论

Dealing with uncertainty in image forensics: A fuzzy approach

Dealing with uncertainty in image forensics: A fuzzy approac...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： M. Barni A. Costanzo Department of Information Engineering University of Sienna Siena Italy

image forensics research has mainly focused on the detection of artifacts introduced by a single processing tool. In tamper detection applications, however, the kind of artifacts the forensic analyst should look for is not known beforehand, hence making it necessary that several tools developed for different scenarios are applied. The problem, then, is twofold: i) devise a sound strategy to elaborate the information provided by the different tools into a single output, and ii) deal with the uncertainty introduced by error-prone tools. In this paper, we introduce a framework based on Fuzzy Theory to overcome these problems. We describe a practical implementation of the proposed framework putting the theoretical principles in practice. To validate the proposed approach, we carried out some experiments addressing a simple realistic scenario in which three forensic tools exploit artifacts introduced by JPEG compression to detect cut&paste tampering within a specified region of an image. The results are encouraging, especially when compared with those obtained by simply XOR-ing the output of the the single detection tools.

关键词： Forensics Reliability Fuzzy logic Fuzzy sets Transform coding image coding Standards

来源：评论

学校读者我要写书评

暂无评论

Resolution mosaic-based Smart Camera for video surveillance

Resolution mosaic-based Smart Camera for video surveillance

引用

ACM/IEEE International conference on Distributed Smart Cameras, ICDSC

作者： Mohammed A-Megeed Salem Kristian Klaus Frank Winkler Beate Meffert Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Signal Processing and Pattern Recognition Group Department of Computer Science Humboldt-Universitaet zu Berlin Berlin Germany

Video surveillance is one of the most data intensive applications. A typical video surveillance system consists of one or multiple video cameras, a central storage unit, and a central processing unit. At least two bottlenecks exist: First, the transmission capacity is limited, especially for raw data. Second, the central processing unit has to process the incoming data to give results in real time. Therefore, we propose an FPGA-based embedded camera system which performs all steps of image acquisition, region of interest extraction, generation of a multiresolution image, and image transmission. The proposed pipeline-based architecture allows a real time wavelet-based image segmentation and a detection of moving objects for surveillance purposes. The system is integrated in a single FPGA using external RAM as storage for images and for a Linux operating system which controls the data flow. With the pipeline concept and a Linux device driver it is possible to create a system for streaming the results of an image processing through a GbE interface. A real time processing is achieved. The camera transmits the captured images with 30 Mpixel/s , but the system is able to process 100 Mpixel/s .

关键词： Smart cameras Video surveillance Central processing Unit image storage Linux Data mining image resolution image communication image segmentation Object detection

来源：评论

学校读者我要写书评

暂无评论

Implementation of noise reduction for PET using hybrid nonlinear wavelet shrinkage method

Implementation of noise reduction for PET using hybrid nonli...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Akihiro Ishikawa Keishi Kitamura Tetsuro Mizuta Kazumi Tanaka Masaharu Amano Yoshihiro Inoue Medical Systems Division Shimadzu Corporation Kyoto Japan Shimadzu Corporation Japan

Positron emission tomography (PET) imaging provides the functional information and precise physiological uptake of radioactivity in a patient's body. But the photon level of PET system has fewer level, the shortcoming of PET is low SNR. The quantum noise in emission data can have a significant influence on the statistical uncertainty of PET measurements. The reduction of the quantum noise in images is an important issue. Conventional post-processing is not completely suitable, since it leads to loss of the spatial resolution while reducing noise. In this study, we present a method for denoising the quantum noise in images. Our proposed methods is to use a hybrid wavelet shrinkage processing in 3D sinogram(bin,angle,slice) domain. One is applied to axial(bin,angle) space to reduce detector dependence noise element, the other is applied to 3D space to reduce quantum noise. We optimized three parameters in each wavelet processing. The efficacy of the filtering technique was shown on a derenzo phantom. Finally, we also performed human FDG studies to evaluate clinical performance. As result, we have found that the optimized parameters and reconstructed image without post filtering in proposed study reduce COV while maintaining average and spatial resolution. We therefore conclude that wavelet de-noising technique is an effective tool to process PET images and thus to provide better image quality. We expect that our study can provide benefits to clinical applications of PET images.

关键词： Noise reduction Positron emission tomography Spatial resolution Filtering signal to noise ratio Measurement uncertainty Noise measurement wavelet domain Detectors Imaging phantoms

来源：评论

学校读者我要写书评

暂无评论

image watermarking using dual-tree complex wavelet by coefficients swapping and group of coefficients quantization

Image watermarking using dual-tree complex wavelet by coeffi...

引用

IEEE International conference on Multimedia and Expo (ICME)

作者： Huijuan Yang Xudong Jiang Alex C. Kot Nanyang Technological University Singapore

In this paper, we present two watermarking schemes for images using the low-pass frequency coefficients and high-pass complex frequency coefficients of the Dual-Tree Complex wavelet Transform (DT-CWT) of the image, the distinctive characteristics of the two schemes can lead to different applications. We investigate the problem of embedding binary watermark sequence in DT-CWT domain, which is a challenging problem. The coefficients swapping is done by carefully selecting those 2×2 blocks with high-energy in the low frequency and swap the coefficients that lie in the median range in the block to embed the watermark. Whereas the group of coefficients quantization quantizes a group of high-pass complex frequency coefficients to make the quantized coefficients lie in the middle of the quantization range and distribute the changes among the coefficients. Experimental results conducted on 100 standard images achieve about 96% and 92% detection rate for the low-pass and high-pass frequency coefficients-based schemes, respectively. Robustness tests against some common signal processing attacks such as additive noise, median filtering and lossy JPEG compression confirm the superior performance of the proposed schemes.

关键词： Watermarking Robustness Quantization Visualization PSNR Transforms image edge detection

来源：评论

学校读者我要写书评

暂无评论

An Intelligent System to Classify Epileptic and Non-Epileptic EEG signals

An Intelligent System to Classify Epileptic and Non-Epilepti...

引用

International IEEE conference on signal-image Technologies and Internet-Based System

作者： Emad-Ul-Haq Qazi Muhammad Hussain Hatim Aboalsamh Wadood Abdul Saeed Bamatraf Ihsan Ullah Department of Computer Science and Department of Computer Engineering King Saud University Riyadh Saudi Arabia King Saud University Riyadh Riyadh Province SA Department of Science and Technology University of Napoli ‘Parthenope’ Naples Italy

Epilepsy is a neurological disorder disease that affects more than 55 million people in the world. In this paper, we have proposed an efficient intelligent pattern recognition system for the classification of epileptic and non-epileptic electroencephalogram (EEG) signals. For this purpose, we used state-of-the-art machine learning technique, i.e., SVM (support vector machines) to classify epileptic and non-epileptic signals. Two (02) different classes of signals are used in this study, i.e., non-epileptic with open eyes and epileptic in seizure condition. One hundred (100) subjects from each class were employed for extraction of discriminatory features and classification purpose. After pre-processing of EEG signals, we use discrete wavelet transform (DWT) to decompose signals upto level 5. Then various features, i.e., energy, entropy and standard deviation are extracted from wavelet bands. Next, we use these features in the classification of signals. We achieved the classification accuracy of 100 % at delta band (0 to 3 Hz) and theta band (3 to 6 Hz). The comparisons with the previous studies show the significance of this system, which can be utilized in real-time as well as in offline clinical applications.

关键词： Feature extraction Electroencephalography Discrete wavelet transforms Support vector machines Time-frequency analysis Epilepsy Standards

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313页 << < 292 293 294 295 296 297 298 299 300 301 > >>

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：