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

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An FPGA-based wavelet transforms coprocessor

An FPGA-based wavelet transforms coprocessor

引用

International conference on image processing (ICIP 2001)

作者： Nibouche, M Boundane, A Crookes, D Nibouche, O Queens Univ Belfast Sch Comp Sci Belfast BT7 1NN Antrim North Ireland

ISBN: (纸本)0780367251

Although FPGA technology offers the potential of designing high performance systems at low cost for a wide range of applications, its programming model is prohibitively low level requiring either a dedicated FPGA-experienced programmer or basics digital design knowledge. To allow a signal/image processing end-user to benefit from this kind of devices, the level of design abstraction needs to be raised, even beyond a Hardware Description Language level (eg VHDL). This approach will help the application developer to focus on signal/image processing algorithms rather than on low-level designs and implementations. This paper arms to present a framework for an FPGA-based coprocessor dedicated to Discrete wavelet Transforms (DWT). The proposed approach will help the end-user to generate FPGA configurations for DWT at a highest level without any knowledge of the low-level design styles and architectures.

关键词： image processing

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Anisotropic 2-d wavelet packets and rectangular tiling: Theory and algorithms

Anisotropic 2-d wavelet packets and rectangular tiling: Theo...

引用

wavelets - applications in signal and image processing X conference

作者： Xu, D Do, MN Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA

ISBN: (纸本)0819450804

We propose a new subspace decomposition scheme called anisotropic wavelet packets which broadens the existing definition of 2-D wavelet packets. By allowing arbitrary order of row and column decompositions, this scheme fully considers the adaptivity, which helps find the best bases to represent an image. We also show that the number of candidate tree structures in the anisotropic case is much larger than isotropic case. The greedy algorithm and double-tree algorithm are then presented and experimental results are shown.

关键词： anisotropic wavelet packets rectangular tiling best bases dynamic programming

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Hyperspectral Face Recognition using 3D Discrete wavelet Transform 6

Hyperspectral Face Recognition using 3D Discrete Wavelet Tra...

引用

6th International conference on image processing Theory, Tools and applications (IPTA)

作者： Ghasemzadeh, Aman Demirel, Hasan Eastern Mediterranean Univ Dept Elect & Elect Engn Via Mersin 10 Gazimagusa Turkey

ISBN: (纸本)9781467389105

In this paper a three dimensional discrete wavelet transform (3D-DWT) based feature extraction for the classification of facial hyperspectral imagery is proposed. Most of the relevant work processes 2-D slices of hyperspectral images separately;3D-DWT has the advantage of extracting the spatial and spectral information simultaneously. Decomposing an image into a set of spatial-spectral components is an important characteristic of 3D-DWT. We propose two methods for 3D-DWT feature extraction, namely, 3D subband energy (3D-SE) and 3D subband overlapping cube (3D-SOC). Extracted feature vector datasets are processed through k-NN classifier and their performance is evaluated under three different testing scenarios. The experimental results revealed that hyperspectral face recognition with proposed 3D-DWT methods substantially outperforms the methods used in spatial-spectral classification reported in the literature.

关键词： Three dimensional discrete wavelet transform (3D-DWT) Hyperspectral images feature extraction texture

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image registration using threefold orthogonal wavelet

Image registration using threefold orthogonal wavelet

引用

wavelets - applications in signal and image processing X conference

作者： Gefen, S Tretiak, O Nissanov, J Drexel Univ Coll Med Comp Vis Lab Vertebrate Brain Mapping Dept Neurobiol & Anat Philadelphia PA 19129 USA

ISBN: (纸本)0819450804

An algorithm for multidimensional nonlinear registration is proposed. The deformation field between two elastic bodies is represented by a multi-resolution separable wavelet. Using a progressive approach that reduces algorithm complexity the registration parameters are recovered in a coarse to fine order. A custom wavelet that approximates threefold orthogonality is developed. The performance of the algorithm is evaluated by the alignment of sections from mouse brains. The wavelet registration algorithm demonstrated on average fourfold improvement in section alignment over linear alignment.

关键词： elastic deformation nonlinear registration threefold orthogonal wavelet segmentation mouse brain spatial normalization

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wavelet-Based Poisson Rate Estimation Using the Skellam Distribution

Wavelet-Based Poisson Rate Estimation Using the Skellam Dist...

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conference on Computational Imaging vii

作者： Hirakawa, Keigo Baqai, Farhan Wolfe, Patrick J. Harvard Univ Sch Engn & Appl Sci 33 Oxford St Cambridge MA 02138 USA Sony Electron Inc Media Proc Technol Lab San Jose CA 95112 USA

ISBN: (纸本)9780819474964

Owing to the stochastic nature of discrete processes such as photon counts in imaging, real-world data measurements often exhibit heteroscedastic behavior. In particular, time series components and other measurements may frequently be assumed to be non-iid Poisson random variables, whose rate parameter is proportional to the underlying signal of interest-witness literature in digital communications, signal processing, astronomy, and magnetic resonance imaging applications. In this work, we show that certain wavelet and filterbank transform coefficients corresponding to vector-valued measurements of this type are distributed as sums and differences of independent Poisson counts, taking the so-called Skellam distribution. While exact estimates rarely admit analytical forms, we present Skellam mean estimators under both frequentist and Bayes models, as well as computationally efficient approximations and shrinkage rules, that may be interpreted as Poisson rate estimation method performed in certain wavelet/filterbank transform domains. This indicates a promising potential approach for denoising of Poisson counts in the above-mentioned applications.

关键词： Statistical analysis signal processing Radon wavelets Stochastic processes Astronomy Data communications Electronics Filtering (signal processing) Magnetic resonance imaging

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New classes of hybrid hadamard-wavelet transforms for signal-image processing

New classes of hybrid hadamard-wavelet transforms for signal...

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24th Annual International conference of the Engineering-in-Medicine-and-Biology-Society/Annual Fall Meeting of the Biomedical-Engineering-Society (EMBS 2002 BMES)

作者： Petrosian, A Texas Tech Univ Dept Elect Engn Lubbock TX 79409 USA

ISBN: (纸本)0780376129

It is apparent that there is no future for telemedicine without signal compression. In fact the very idea of sending X-rays and other medical images and information electronically could not have brought up without advances in compression technology over the past two decades. Leading compression standards, such as JPEG/MPEG [1] and those based on Hadamard matrix [2], have been successfully implemented in numerous signal/image coding/decoding applications ranging from satellites to medical imaging. On the other hand, ever-increasing requirements in signal recognition and transmission, particularly related to telemedicine, have challenged the researchers to develop new compression techniques better suited for each practical situation. The wavelet technology emerged as one of the most promising tools in that direction. Both wavelet and Hadamard transform based algorithms provide excellent quality biomedical signal reconstruction at high compression ratios and can be implemented in real-time on existing microprocessors. The objective. of this study is to construct hybrid Hadamard-wavelet transforms and to develop corresponding optimal zonal sampling methods with the use of such transforms. The designed hybrid transforms can be useful in various specific signal processing applications where combining properties of Hadamard and wavelet transforms may be of particular benefit.

关键词： telemedicine wavelets signal-image compression

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Wavetool: an integrated software for wavelet and multirate signal processing

Wavetool: an integrated software for wavelet and multirate s...

引用

Proceedings of the 1995 IEEE International conference on image processing. Part 3 (of 3)

作者： Singh, Hemant Niels Heller, Peter Aware Inc Bedford United States

wavelets and multi-rate filter banks are increasingly important tools for various digital image processing (DIP) and image analysis tasks in addition to their traditional applications in one dimensional signal processing. WaveTool, is an integrated software environment for rapid prototyping of wavelet-based algorithms. It is particularly attractive for signal processing because of its rich collection of filter bank choices, online multi-rate filter design, and interactive tree building. This paper presents a general overview of WaveTool with emphasis on its image processing capabilities. Example applications to texture classification, seismic data compression, and image restoration are presented, and the future direction of WaveTool is discussed.

关键词： Computer software

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A New Fast Approach for Skew Estimation using Moments and wavelet Transform 4

A New Fast Approach for Skew Estimation using Moments and Wa...

引用

International conference on image processing Theory, Tools and applications (IPTA)

作者： Mehta, Sunita Walia, Ekta Dutta, Maitreyee Chandigarh Coll Engn & Technol OI Comp & ECE Chandigarh India South Asian Univ Dept Comp Sci New Delhi India NITTTR Dept Comp Sci Chandigarh India

ISBN: (纸本)9781479964635

In this paper, a new technique based on moments and wavelet transform is proposed to determine skew angle of document image. This technique is divided into two parts. Firstly, the size of image is reduced using two-dimensional Discrete wavelet Transform (DWT). Then the moment based method is applied on reduced image to determine skew angle. Hence, proposed algorithm has better time complexity and less computational cost than the existing algorithms. This method is tested over large number of documents having skew between -90(square) and +90(square) and is observed to be simple, fast, accurate and works with most of the languages. It is also found to be robust against noise. Results of proposed algorithm are compared with moment based approach and other commonly used existing methods and found to be to the best method.

关键词： Optical character recognition Skew angle Discrete wavelet Transform Moments Time complexity

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Classification of Stress into Emotional, Mental, Physical and No Stress Using Electroencephalogram signal Analysis 5

Classification of Stress into Emotional, Mental, Physical an...

引用

IEEE International conference on signal and image processing applications (ICSIPA)

作者： Berbano, Adrian Erniell U. Pengson, Hanz Niccole V. Razon, Cedric Gerard V. Tungcul, Kristel Chloe G. Prado, Seigfred V. Univ Santo Tomas Dept Elect Engn Manila Philippines

ISBN: (纸本)9781509055593

The paper presents further research on neural engineering that focuses on the classification of emotional, mental, physical and no stress through the use of Electroencephalography (EEG) signal analysis. Stress is one of the leading causes of several health-related problems and diseases. Therefore, it becomes necessary for people to monitor their stress. The human body acquires and responds to stress in different ways resulting to two classifications of stress namely, mental and emotional stress. Traditional methods in classifying stress such as through questionnaires and self-assessment tests are said to be subjective since they rely on personal judgment. Thus, in this study, stress is classified through an objective measure which is EEG signal analysis. The features of the EEG recordings are then pre-processed, extracted, and selected using Discrete wavelet Transform (DWT). These features are then ussed as inputs to classify stress using Artificial Neural Network (ANN) and validated using K-fold Cross Validation Method. Lastly, the results from the software assisted method is compared to the results of the traditional method.

关键词： Electroencephalogram Discrete wavelet Transform Artificial Neural Network K - fold Cross Validation Mental Stress Emotional Stress Physical Stress No Stress

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Speckle filtering of SAR images - A comparative study between complex-wavelet-based and standard filters

Speckle filtering of SAR images - A comparative study betwee...

引用

conference on wavelet applications in signal and image processing V

作者： Gagnon, L Jouan, A Lockheed Martin Canada (Canada)

ISBN: (纸本)0819425915

We present a comparative study between a complex wavelet Coefficient Shrinkage (WCS) filter and several standard speckle filters that are widely used in the radar imaging community (Lee, Kuan, Frost, Geometric, Kalman, Gamma, etc.). The WCS filter is based on the use of Symmetric Daubechies (SD) wavelets which share the same properties as the real Daubechies wavelets but with an additional symmetry property. The filtering operation is an elliptical soft-thresholding procedure with respect to the principal axes of the 2-D complex wavelet coefficient distributions. Both qualitative and quantitative results (signal to mean square error ratio, equivalent number of looks, edgemap figure of merit) are reported. Tests have been performed using simulated speckle noise as well as real radar images. It is found that the WCS filter performs equally well as the standard filters for low-level noise and slightly outperforms them for higher-level noise.

关键词： image processing synthetic aperture radar speckle wavelets

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