检索结果-内蒙古大学图书馆

IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

作者： B. N. Madhukar S. H. Bharathi School of Electronics and Communication Engineering Reva University Bengaluru India

ISBN: (数字)9781728137353

ISBN: (纸本)9781728137360

This paper gives the derivations of new duality properties for the four variants of the DWT. DWT and its variants are finite durational discrete transforms that are used in a host of applications in the fields of Digital signal processing, Digital image processing, Communication Systems, among a host of others. The Duality properties can be applied for the computation of the temporal signal from its frequency-domain counterpart or contra if and only if existing pair of DWT, including their counterparts, are known. The utility of the Duality properties lie in the abatement of computational complexity and disbursement intrinsically.

关键词： Discrete wavelet transforms Indexes Discrete transforms Discrete Fourier transforms Kernel

来源：评论

学校读者我要写书评

暂无评论

Multifractal formalisms for multivariate analysis

引用

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES 2019年第2229期475卷 20190150-20190150页

作者： Jaffard, Stephane Seuret, Stephane Wendt, Herwig Leonarduzzi, Roberto Abry, Patrice Univ Gustave Eiffel LAMA Univ Paris Est Creteil UPEMCNRS F-94010 Creteil France Univ Toulouse IRIT CNRS Toulouse France PSL Ecole Normale Super F-75005 Paris France Univ Claude Bernard Univ Lyon ENS Lyon CNRSLab Phys Lyon France

Multifractal analysis, that quantifies the fluctuations of regularities in time series or textures, has become a standard signal/image processing tool. It has been successfully used in a large variety of applicative contexts. Yet, successes are confined to the analysis of one signal or image at a time (univariate analysis). This is because multivariate (or joint) multifractal analysis remains so far rarely used in practice and has barely been studied theoretically. In view of the myriad of modern real-world applications that rely on the joint (multivariate) analysis of collections of signals or images, univariate analysis constitutes a major limitation. The goal of the present work is to theoretically ground multivariate multifractal analysis by studying the properties and limitations of the most natural extension of the univariate formalism to a multivariate formulation. It is notably shown that while performing well for a class of model processes, this natural extension is not valid in general. Based on the theoretical study of the mechanisms leading to failure, we propose alternative formulations and examine their mathematical properties.

关键词： multifractal multivariate formalism wavelet leaders spatial regularity correlations multiplicative cascades

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of Clustering Algorithms for Ultrasound image Despeckling applications 18

A Comparative Analysis of Clustering Algorithms for Ultrasou...

引用

2nd International Conference on Graphics and signal Proceesing (ICGSP)

作者： Singh, Prerna Mukundan, Ramakrishnan de Ryke, Rex Univ Canterbury Dept Comp Sci & Software Engn Christchurch New Zealand Canterbury Dist Hlth Board Radiol Serv Christchurch New Zealand

ISBN: (纸本)9781450363860

This paper proposes a novel framework for speckle noise suppression and edge preservation using clustering algorithms in ultrasound images. The algorithms considered are K-means clustering, fuzzy C-means clustering, possibilistic C-means, fuzzy possibilistic C-means, and possibilistic fuzzy C-means clustering. This work presents an exhaustive comparative analysis of the above clustering algorithms to consider their suitability for despeckling and identifies the best clustering algorithm. Two types of dataset are considered: medical ultrasound images of the thyroid, and synthetically modelled ultrasound images. The framework consists of several distinct phases - first the edges of the image are identified using the Canny edge operator, and then a clustering algorithm applied on high frequency coefficients extracted using wavelet transform. Finally, the preserved edges are added back to speckle suppressed image. Thus, the proposed clustering method effectively accomplishes both speckle suppression and edge preservation. This paper also presents a quantitative evaluation of results to demonstrate the effectiveness of the clustering approach.

关键词： Ultrasound image analysis speckle noise wavelet transform Canny edge detector Clustering algorithms image quality metrics

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

A Novel Incremental Face Recognition Method Based on Nonparametric Discriminant Model 4

A Novel Incremental Face Recognition Method Based on Nonpara...

引用

4th International Conference on Advanced Technologies for signal and image processing (ATSIP)

作者： Soula, Arbia Ben Said, Salma Ksantini, Riadh Lachiri, Zied Univ Tunis El Manar Signal Images & Informat Technol LR SITI ENIT Tunis Tunisia Univ Tunis El Manar Signal Images & Informat Technol LR SITI ENIT INSAT Tunis Tunisia Univ Windsor Windsor ON Canada SUPCOM Secur Numer Ariana Tunisia Univ Tunis El Manar ENIT Res Lab SITI Elect Engn Dept Tunis Tunisia

ISBN: (纸本)9781538652398

Face recognition has received considerable interest owing to its relevance in several domains. Yet, it has some difficulties in many real world applications, where data are collected continuously and must be updated over time. In the present, we advance an adept face recognition technique that rests on Incremental Nonparametric Discriminant Analysis (INDA). We use the Gabor wavelet to extract facial features on which multi-lob ordinal filter are applied to derive Ordinal measures that are encoded in local zones, as visual parameters. Then, the statistical dispersion of these parameters is integrated to get a feature vector whose dimension is decreased by making use of PCA and variance. Last but not least, every single feature vector is treated as a feature input for the INDA. The proffered face recognition technique was assessed on the well-known ORL and Yale face databases. Experimental results have shown clearly its superiority and skillfulness in terms of recognition performance.

关键词： incremental learning nonparametric discriminant analysis Gabor filter face recognition

来源：评论

学校读者我要写书评

暂无评论

Secure Data Transmission Using Steganography and Twisted Exchange Algorithm

Secure Data Transmission Using Steganography and Twisted Exc...

引用

2018 IEEE International Conference on Information Communication and signal processing, ICICSP 2018

作者： Nyo, Hnin Lai Hlaing, Aye Su Maw, Tin Win Faculty of Information and Communication Technology University of Technology Yatanarpon Cyber City Pyin Oo Lwin Myanmar

ISBN: (纸本)9781538680032

Privacy has always a growing impact on the modern applications and the growth in term of technology. The demand for the highest privacy must be guaranteed in the field of technical, commercial and legal regulations whenever sensitive information is stored, processed, or communicated in any form. Thus new technologies are also created new ways to gather private information. In this system, to transmit data securely and to improve robustness, imperceptibility and payload capacity, combination of steganography and cryptography techniques are used. The referable values of secret image is embedded in the video file with the use of Arnold scrambling technique, discrete wavelet transformation and least significant bit. The secret key generated referable values of image is embedded behind the audio file. Before embedding of secret key, it is encrypted by a new proposed encryption algorithm, Twisted Exchange algorithm. Therefore, in this paper, for the security strength of proposed algorithm, it is analyzed whether its generated key stream is random, unpredictable and consistent or not by using National Institute of Standards and Technology (NIST) statistical test tool and compare the results with other standard pseudorandom number generators. © 2018 IEEE.

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Multi-Rate signal processing with the Use of Filter Banks Composed of Parallel FIR Filters

Multi-Rate Signal Processing with the Use of Filter Banks Co...

引用

International Conference on Microelectronics, MIEL

作者： M. Banach R. Długosz Poznan University of Technology Institute of Architecture and Spatial Planning Nieszawska 13C Poznań Poland Aptiv Services Poland ul. Podgórki Tynieckie 2 Kraków Poland

The paper presents a concept of a hardware implementation of 2-D finite impulse response (FIR) filter banks for the application in image processing and analysis. Banks composed of low-and high-pass FIR filters are basic components of multi-stage discrete wavelet transform (DWT). The applications of such solutions that are in the scope of our interests are vision systems used in automotive active safety functions (e.g in line departure warning). Basics of the DWT are broadly described in the literature. In our work we focus on solutions supporting hardware realization of filter banks for DWT. The proposed parallel and asynchronous circuits allow to achieve the processing time for a single pixel not exceeding 2 to 4 ns, depending on the size of the mask (data for TSMC 180 nm CMOS process).

关键词： Discrete wavelet transforms Finite impulse response filters Hardware Frequency response Complexity theory

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study for image Fusion

A Comparative Study for Image Fusion

引用

2018 Innovations in Intelligent Systems and applications Conference, ASYU 2018

作者： Oral, Mustafa Sevgiturgut, Sultan Department of Computer Engineering Cukurova University Adana Turkey

ISBN: (纸本)9781538677865

image fusion that is a process of combining two or more images to generate new features or enhance the available information is a subfield of image processing. image Fusion is divided into four main categories;multi-view fusion, multimodal fusion, multi-temporal fusion, multi-focus fusion. The depth of field property of the optical lens causes the view to have different depth of field because it can focus on only one region at a time. Thus, it is difficult to obtain a completely focused image. Multi-focus image fusion aims to generate a fused image whose pixels are as well focused as possible by combining multiple images that contain the same scene but have different parts of focus. In this paper, a comparative study has been carried out between four multi-focus image fusion methods that are Unique Colors (UC-IF), Discrete Cosine Transform (DCT-IF), Discrete wavelet Transform (DWT-IF) and Principal Component Analysis(PCA-IF). The performances of these methods are evaluated with four most commonly used metrics;Peak signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), Root Mean Square Error (RMSE) and Entropy. Although Unique Color Method is simple and easy to implement, it has been found superior to the other methods. © 2018 IEEE.

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Analytic and directional wavelet packets in the space of periodic signals

arXiv

引用

arXiv 2019年

作者： Averbuch, Amir Neittaanmäki, Pekka Zheludev, Valery School of Computer Science Tel Aviv University Tel Aviv69978 Israel Department of Mathematical Information Technology University of Jyväskylä Finland

The paper presents a versatile library of analytic and quasi-analytic complex-valued wavelet packets (WPs) which originate from discrete splines of arbitrary orders. The real parts of the quasi-analytic WPs are the regular spline-based orthonormal WPs designed in [2]. The imaginary parts are the so-called complementary orthonormal WPs, which, unlike the symmetric regular WPs, they are antisymmetric. Tensor products of 1D quasi-analytic WPs provide a diversity of 2D WPs oriented in multiple directions. For example, a set of the fourth-level WPs comprises 62 different directions. The designed computational scheme in the paper enables us to get fast and easy implementation of the WP transforms. The presented WPs proved to be efficient in signal/image processing applications such as restoration of images degraded by either additive noise or missing of up to 90% of their pixels. Copyright © 2019, The Authors. All rights reserved.

关键词： wavelet analysis

来源：评论

学校读者我要写书评

暂无评论

Fast Enhanced DWT based Video Micro Movement Magnification

Fast Enhanced DWT based Video Micro Movement Magnification

引用

IEEE International Symposium on signal processing and Information Technology (ISSPIT)

作者： G. Fahmy O. M. Fahmy M. F. Fahmy Kuwait College of Science and Technology Future University in Egypt Cairo Egypt Assiut University Assiut Egypt

ISBN: (数字)9781728153414

ISBN: (纸本)9781728153421

Magnifying micro movements of natural videos that are undetectable by human eye have recently received considerable interests. This is due to its impact in numerous applications. In this paper, we present a new technique to estimate accurate phase changes between subsequent video frames at different spatial locations of Complex wavelets CWT sub bands. This estimation is more accurate compared to recent literature techniques utilizing CWT in micro movement magnification. We also propose to speed up the magnification process through only amplifying small CWT local phase error intervals for each individual frame sub band. A simple block matching technique is also proposed to assess the quality of magnification and localize magnified regions. We applied our proposed technique on both Dual Tree Complex wavelet Transform DT-CWT as well as Real two-dimensional Dual Tree DWT. Several simulations are given to show that the proposed technique competes very well with the existing micro magnification approaches such as steerable pyramids STR and Riesz Transform based steerable pyramids RT-STR. A detailed comparison of these techniques performance in micro movement magnification is illustrated. The attached video file demonstrates the superior video quality attained by the proposed technique.

关键词： Continuous wavelet transforms Discrete wavelet transforms image reconstruction Band-pass filters Pediatrics

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：