检索结果-内蒙古大学图书馆

Multiresolution analysis and orthogonal wavelets associated with fractional wavelet transform

signal image AND VIDEO processing 2015年第1期9卷 211-220页

作者： Shi, Jun Liu, Xiaoping Zhang, Naitong Harbin Inst Technol Commun Res Ctr Harbin 150001 Peoples R China Harbin Inst Technol Shenzhen Grad Sch Shenzhen 518055 Peoples R China

The fractional wavelet transform (FRWT), which generalizes the classical wavelet transform, has been shown to be potentially useful for signal processing. Many fundamental results of this transform are already known, but the theory of multiresolution analysis and orthogonal wavelets is still missing. In this paper, we first develop multiresolution analysis associated with the FRWT and then derive a construction of orthogonal wavelets for the FRWT. Several fractional wavelets are also presented. Moreover, some applications of the derived results are discussed.

关键词： Time-frequency analysis Multiresolution analysis Orthogonal wavelets Fractional wavelet transform

来源：评论

学校读者我要写书评

暂无评论

Data scheduling scheme for power reduction in DWT-based image coders

引用

ELECTRONICS LETTERS 2002年第9期38卷 408-409页

作者： Seth, K Srinivasan, S Indian Inst Technol Dept Elect Engn Madras 600036 Tamil Nadu India

A new memory data scheduling scheme is used for designing a two-dimensional discrete wavelet transform (2D-DWT) core for ASIC implementation. This scheme reduces by 20 to 30% the overall switching activity in the 2D-DWT core and hence leads to lower power consumption at the expense of a slight reduction in the quality of reconstructed images and a slight increase in the chip area. This scheme is particularly useful in applications such as wireless Internet and laptop computers, in which picture quality can be traded-off for reduced power consumption.

关键词： processor scheduling DWT-based image coders 2D discrete wavelet transform core Integral transforms in numerical analysis 2D-DWT core mobile radio chip area data scheduling scheme application specific integrated circuits image processing equipment reconstructed image quality Internet power reduction Multiprocessing systems wireless Internet applications Semiconductor integrated circuits memory data scheduling scheme image coding laptop computers power consumption ASIC implementation Pattern recognition and computer vision equipment Computer vision and image processing techniques image reconstruction discrete wavelet transforms picture quality overall switching activity image and video coding image recognition signal processing and conditioning equipment and techniques

来源：评论

学校读者我要写书评

暂无评论

Exponential spline perfect reconstruction, decomposition and reconstruction with applications in compression and denoising

引用

signal image AND VIDEO processing 2014年第6期8卷 1111-1120页

作者： Fahmy, M. F. Fahmy, Gamal Assiut Univ Dept Elect Engn Asyut Egypt Majmaah Univ Dept Elect Engn Al Majmaah Saudi Arabia

B-splines caught interest of many engineering applications due to their merits of being flexible and provide a large degree of differentiability and cost/quality trade-off relationship. However, they have less impact with continuous-time applications as they are constructed from piecewise polynomials. On the other hand, exponential spline polynomials (E-splines) represent the best smooth transition between continuous and discrete domains as they are made of exponential segments. In this paper, we present a complete analysis for an E-spline-based subband coding (wavelet) perfect reconstruction (PR) system. Derivations for the scaling and wavelet functions are presented, along with application of the proposed system in image compression and image denoising. In image compression, a comparison of the proposed technique compared with the B-spline-based PR system as well as the basic wavelet subband system with the SPIHT image codec is presented. In image denoising, we report the enhancement achieved with the proposed E-spline-based denoising approach compared with B-spline-based denoising and another basic denoising technique. In both applications, E-splines show superior performance as will be illustrated.

关键词： Cardinal exponential splines image compression image denoising

来源：评论

学校读者我要写书评

暂无评论

Lifting for nonlinear wavelet image processing

Lifting for nonlinear wavelet image processing

引用

Conference on wavelet applications in signal and image processing VII

作者： Claypoole, R Baraniuk, R Nowak, R Rice Univ Dept Elect & Comp Engn Houston TX 77005 USA

ISBN: (纸本)0819432997

This paper develops new algorithms for adapted multiscale analysis and signal adaptive wavelet transforms. We construct our adaptive transforms with the lifting scheme, which decomposes the wavelet transform into prediction and update stages. We adapt the prediction stage to the signal structure and design the update stage to preserve the desirable properties of the wavelet transform. The resulting scale and spatially adaptive transforms are extended to the image estimation problem;our new image transforms show improved denoising performance over existing (non-adaptive) orthogonal transforms.

关键词： wavelets lifting denoising

来源：评论

学校读者我要写书评

暂无评论

Design of IIR orthogonal wavelet filter banks using lifting scheme

引用

IEEE TRANSACTIONS ON signal processing 2006年第7期54卷 2616-2624页

作者： Zhang, Xi Wang, Wei Yoshikawa, Toshinori Takei, Yoshinori Univ Electrocommun Dept Informat & Commun Engn Tokyo 1828585 Japan Nagaoka Univ Technol Dept Elect Engn Nagaoka Niigata 9402188 Japan

The lifting scheme is well known to be an efficient tool for constructing second generation wavelets and is often used to design a class of biorthogonal wavelet filter banks. For its efficiency, the lifting implementation has been adopted in the international standard JPEG2000. It is known that the orthogonality of wavelets is an important property for many applications. This paper presents how to implement a class of infinite-impulse-response (IIR) orthogonal wavelet filter banks by using the lifting scheme with two lifting steps. It is shown that a class of IIR orthogonal wavelet filter banks can be realized by using allpass filters in the lifting steps. Then, the design of the proposed IIR orthogonal wavelet filter banks is discussed. The designed IIR orthogonal wavelet filter banks have approximately linear phase responses. Finally, the proposed IIR orthogonal wavelet filter banks are applied to the image compression, and then the coding performance of the proposed IIR filter banks is evaluated and compared with the conventional wavelet transforms.

关键词： allpass filter approximate linear phase infiniteimpulse-response (IIR) filter image coding lifting scheme orthogonal wavelet filter bank

来源：评论

学校读者我要写书评

暂无评论

Logarithmic dyadic wavelet transform with its applications in edge detection and reconstruction

引用

APPLIED SOFT COMPUTING 2015年 26卷 193-201页

作者： Tu, Gang Jun Karstoft, Henrik Aarhus Univ Dept Anim Sci DK-8830 Tjele Denmark Aarhus Univ Dept Engn DK-8000 Aarhus C Denmark

In this paper, based on the logarithmic image processing model and the dyadic wavelet transform (DWT), we introduce a logarithmic DWT (LDWT) that is a mathematical transform. It can be used in image edge detection, signal and image reconstruction. Comparative study of this proposed LDWT-based method is done with the edge detection Canny and Sobel methods using Pratt's Figure of Merit, and the comparative results show that the LDWT-based method is better and more robust in detecting low contrast edges than the other two methods. The gradient maps of images are detected by using the DWT- and LDWT-based methods, and the experimental results demonstrate that the gradient maps obtained by the LDWT-based method are more adequate and precisely located. Finally, we use the DWT- and LDWT-based methods to reconstruct one-dimensional signals and two-dimensional images, and the reconstruction results show that the LDWT-based reconstruction method is more effective. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Logarithmic image processing Logarithmic dyadic wavelet transform image edge detection Gradient map signal and image reconstruction

来源：评论

学校读者我要写书评

暂无评论

A High Precision Biorthogonal 9/7 wavelet Filter Implemented in the FPGA

引用

Journal of Donghua University(English Edition) 2012年第1期29卷 80-83页

作者：韩启祥王宇聪蔡惠智 Institute of Acoustics Chinese Academy of Science

An efficient high precision biorthogonal 9/7 wavelet filter structure for image processing applications was proposed. This structure aimed at high precision applications. A precision improved distributed algorithms (DA) had been proposed. Comparing with traditional DA implementations, the new DA had higher precision while preserves smaller area. The proposed structure was verified in Spartan-6 field programmable gate array (FPGA) and achieved 200 MHz operation frequency. The peak signal to noise ratio (PSNR) of reconstructed image (Lena) achieves 74 dB which is very high comparing with other implementations.

关键词： wavelet filter discrete wavelet transformation (DWT) field programmable gate array (FPGA) distributed algorithm

来源：评论

学校读者我要写书评

暂无评论

An efficient FPGA-based dynamic partial reconfiguration design flow and environment for image and signal processing IP cores

引用

signal processing-image COMMUNICATION 2010年第5期25卷 377-387页

作者： Krill, B. Ahmad, A. Amira, A. Rabah, H. Univ Ulster Fac Comp & Engn NIBEC Belfast BT37 0QB Antrim North Ireland Brunel Univ Sch Engn & Design Dept Elect & Comp Engn Uxbridge UB8 3PH Middx England Univ Tun Hussein Onn Malaysia UTHM Fac Elect & Elect Engn Dept Comp Engn Batu Pahat 86400 Johor Malaysia Univ Henri Poincare Lab Instrumentat F-540003 Nancy France

This paper describes a dynamic partial reconfiguration (DPR) design flow and environment for image and signal processing algorithms used in adaptive applications. Based on the evaluation of the existing DPR design flow, important features such as overall flexibility, application and standardised interfaces, host applications and DPR area/size placement have been taken into consideration in the proposed design flow and environment. Three intellectual property (IP) cores used in pre-processing and transform blocks of compression systems including colour space conversion (CSC), two-dimensional biorthogonal discrete wavelet transform (2-D DBWT) and three-dimensional Haar wavelet transform (3-D HWT) have been selected to validate the proposed DPR design flow and environment. Results obtained reveal that the proposed environment has a better solution providing: a scriptable program to establish the communication between the field programmable gate array (FPGA) with IP cores and their host application, power consumption estimation for partial reconfiguration area and automatic generation of the partial and initial bitstreams. The design exploration offered by the proposed DPR environment allows the generation of efficient IP cores with optimised area/speed ratios. Analysis of the bitstream size and dynamic power consumption for both static and reconfigurable areas is also presented in this paper. (C) 2010 Elsevier B.V. All rights reserved.

关键词： Dynamic partial reconfiguration (DPR) Design flow Field programmable gate array (FPGA) IP cores image and signal processing

来源：评论

学校读者我要写书评

暂无评论

image Fusion of Noisy images Based on Simultaneous Empirical wavelet Transform

引用

TRAITEMENT DU signal 2020年第5期37卷 703-710页

作者： Rahmani, Akram Isvand Almasi, Mohammad Saleh, Nastaran Katouli, Moosa Arak Univ Comp Software Engn Arak *** Iran Univ Polytech Catalonia Dept Engn Math Barcelona 08028 Spain Univ South Tehran Dept Lab Fac Engn Tehran *** Iran Islamic Azad Univ Comp Software Engn Gorgan Branch Tehran *** Iran

Fusion image is the method of extracting the relevant information from two or more identical input images into one scene and creating a new image. This method allows the new image to provide comprehensive information about the wand, leading to a visual understanding of the human being. Fusion image application in image processing is an important issue. applications in many fields such as photography, microscopy, astronomy, medical imaging, satellite imagery, machine vision, biology are monitored. In this study first, an image fusion method, suggested recently based on transform empirical wavelet, was implemented in which coefficients were obtained by processing the input images. Then they were combined by applying the rules. The aim of this study is to investigate the noise effect and to remove the noise in the aforementioned suggested method. First, the noise was added to the images, and the images were decomposed into layers or coefficients. Second, by thresholding the coefficients, the noise was removed. Then the coefficients were combined based on the rules to obtain the final coefficients. In the end, the final coefficients were used to obtain the fused image. The results show that the noise removal of images during image fusion is much better and more effective than denoising before image fusion, and the demonstration of the method is proved by obtaining better results in comparison to some existing methods.

关键词： simultaneous empirical wavelet transform merge rules coefficients layers

来源：评论

学校读者我要写书评

暂无评论

wavelet-BASED GRADIENT TRANSFORM AND ITS applications

WAVELET-BASED GRADIENT TRANSFORM AND ITS APPLICATIONS

引用

14th IEEE International Workshop on Multimedia signal processing (MMSP)

作者： Nezhadarya, Ehsan Ward, Rabab K. Wang, Z. Jane Univ British Columbia Dept Elect & Comp Engn Vancouver BC V5Z 1M9 Canada

ISBN: (纸本)9781467345729

A wavelet-based image gradient transform is proposed. The proposed transform, called multi-scale gradient transform (MSGT), obtains the first order derivative of an image in terms of the wavelet detail coefficients. While traditional methods estimate the image gradients at each wavelet scale in terms of the horizontal and vertical wavelet coefficients only, the proposed transform obtains the gradients in terms of the diagonal, as well as the horizontal and vertical wavelet coefficients. The proposed MSGT is designed to be invertible, non-redundant and computationally efficient. We demonstrate the potential applications of the proposed transform in texture feature extraction, multi-scale edge detection, image quality assessment and image watermarking.

关键词： Feature extraction Gradient estimation image watermarking wavelet transform

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：