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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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Lossless compression of 3D seismic data using a horizon displacement compensated 3D lifting scheme

Lossless compression of 3D seismic data using a horizon disp...

引用

conference on wavelet applications in Industrial processing vii

作者： Meftah, Anis Antonini, Marc Ben Amar, Chokri CNRS I3S Lab UMR 6070 F-75700 Paris France REGIM Lab Res Unit 01 UR 11 02 Sfax Tunisia Natl Engn Sch Sfax Tunisia

ISBN: (纸本)9780819479280

In this paper we present a method to optimize the computation of the wavelet transform for the 3D seismic data while reducing the energy of coefficients to the minimum. This allow us to reduce the entropy of the signal and so increase the compression ratios. The proposed method exploits the geometrical information contained in the seismic 3D data to optimize the computation of the wavelet transform. Indeed, the classic filtering is replaced by a filtering following the horizons contained in the 3D seismic images. Applying this approach in two dimensions permits us to obtain wavelets coefficients with lowest energy. The experiments show that our method permits to save extra 8% of the size of the object compared to the classic wavelet transform.

关键词： Lossless compression multiresolution analysis wavelet transform lifting scheme

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Optimal Daubechies' wavelet bases for detection of voltage sags in electric power distribution and transmission systems

Optimal Daubechies' wavelet bases for detection of voltage s...

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Proceedings of the 1999 wavelet applications in signal and image processing vii

作者： Shin, YongJune Powers, Edward J. Grady, W.M. Bhatt, S.C. Univ of Texas at Austin Austin United States

wavelet analysis of voltage sag completely depends on the choice of the wavelet basis. For better detection performance via wavelet analysis, the choice of the optimal wavelet basis must be provided within the constraints of the uncertainty principle which restricts arbitrary assignment of time-frequency resolution. In this paper, we describe local properties of the wavelet basis and voltage sag signal in terms of time duration and frequency bandwidth parameters. After comparison of the local properties of the wavelet basis and voltage sag signal, we suggest a set of performance indexes to measure the time-frequency resolution relation between the wavelet basis and the voltage sag signal. This procedure of determining the optimal wavelet basis can be extended to other possible applications of wavelets.

关键词： wavelet transforms

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Tunable continuous wavelet and frame transforms

Tunable continuous wavelet and frame transforms

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conference on wavelet applications in signal and image processing viiI

作者： Scholl, JF Barker, DL Schmitt, HA Langan, JD Raytheon Elect Syst Tucson AZ 85734 USA

ISBN: (纸本)0819437646

Continuous wavelet transforms (CWT) and frames have always been useful for noise suppression, edge detection and medical signal processing. However these transforms are generally shied away from since computational complexity prevents their widespread use. However, recently developed processor technology that uses analog rather than digital signal processing hardware may be the ideal means to implement and apply these algorithms. It is then appropriate to consider new types of frames and continuous wavelet systems. We propose two families of tunable continuous wavelet systems with widely varying frame bounds and scaling behavior, and illustrate examples of computations involving these systems.

关键词： continuous wavelet transforms frames radial basis functions analog signal processing

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wavelet library for constrained devices

Wavelet library for constrained devices

引用

conference on Mobile Multimedia/image processing for Military and Security applications

作者： Ehlers, Johan Hendrik Jassim, Sabah A. Univ Buckingham Buckingham MK18 1EG England

ISBN: (纸本)9780819467010

The wavelet transform is a powerful tool for image and video processing, useful in a range of applications. This paper is concerned with the efficiency of a certain fast-wavelet-transform (FWT) implementation and several wavelet filters, more suitable for constrained devices. Such constraints are typically found on mobile (cell) phones or personal digital assistants (PDA). These constraints can be a combination of;limited memory, slow floating point operations (compared to integer operations, most often as a result of no hardware support) and limited local storage. Yet these devices are burdened with demandino, tasks such as processing a live video or audio signal through on-board capturing sensors. In this paper we present a new wavelet software library, Heat Wave, that can be used efficiently for image/video processing/analysis tasks on mobile phones and PDA's. We will demonstrate that HeatWave is suitable for real-time applications with fine control and range to suit transform demands. We shall present experimental results to substantiate these claims. Finally this library is intended to be of real use and applied, hence we considered several well known and common embedded operating system platform differences;such as a lack of common routines or functions, stack limitations, etc. This makes HeatWave suitable for a range of applications and research projects.

关键词： wavelet lifting precision preservation integger-to-integer SecurePhone PDAtabase HeatWave

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Graphical statistical modeling of wavelet coefficients and its applications

Graphical statistical modeling of wavelet coefficients and i...

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conference on wavelet applications in signal and image processing viiI

作者： Kozintsev, I Xiao, S Ramchandran, K Intel Corp Microproc Res Labs Santa Clara CA 95050 USA

ISBN: (纸本)0819437646

wavelet transform-based methods are currently used in a variety of image and video processing applications and are popular candidates for future image and video processing standards (e.g., JPEG 2000, MPEG 7). Very little, however, has been done to develop efficient and simple stochastic models for wavelet image data. In this paper we review some existing modeling approaches for wavelet image data. Inspired by our recent Estimation-Quantization image coder, we introduce an efficient graphical stochastic model for wavelet image coefficients. Specifically, we propose to model wavelet image coefficients as Gaussian random variables with parameters determined by an underlying hidden Markov-type process. This stochastic model is defined using a factor graph framework. We test our model for denoising images corrupted by additive Gaussian noise. Our results are among the state-of-the-art in the held and they indicate the promise of the proposed model.

关键词： image modeling image denoising hidden Markov models hidden Markov random fields factor graphs sum-product algorithm

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wavelet Knowledge Distillation for Efficient Stain Normalization in Digital Histopathology 32

Wavelet Knowledge Distillation for Efficient Stain Normaliza...

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32nd IEEE signal processing and Communications applications conference (SIU)

作者： Keklik, Sefa Ekinci, Murat Kablan, Elif Baykal Karadeniz Tech Univ Bilgisayar Muhendisligi Bolumu Trabzon Turkiye Karadeniz Tech Univ Yazilim Muhendisligi Bolumu Trabzon Turkiye

ISBN: (纸本)9798350388978;9798350388961

In digital histopathology, color standardization, known as stain normalization, is widely used in computer-aided diagnosis (CAD) systems. This study details the adaptation and implementation of the wavelet Knowledge Distillation (WKD) method to CAD systems. The proposed method focuses on knowledge transfer between the teacher and student models within a specially designed Pix2Pix Generative Adversarial Network (GAN) for stain normalization in histopathology images. The student model, guided by the knowledge transferred by the teacher model using wavelet-based feature extraction, significantly improves the accuracy of stain normalization, which is crucial for preserving histological details and image quality. The WKD method has demonstrated high performance on the publicly available paired MITOS-ATYPIA dataset, outperforming state-of-the-art methods. Using the same settings, the Teacher model achieved a PSNR of 25.559, SSIM of 0.934, and RMSE of 7.270. Additionally, the student model used in the method yielded better results in the Frechet Inception *** (FID) metric compared to the teacher and baseline models.

关键词： wavelet knowledge distillation stain normalization digital histopathology generative adversarial network pix2pix

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Fast directional fractal coding of subbands using decision-directed clustering for block classification

Fast directional fractal coding of subbands using decision-d...

引用

1997 IEEE International conference on Acoustics, Speech, and signal processing (ICASSP 97)

作者： Belloulata, K Baskurt, A Prost, R CREATIS Villeurbanne France

ISBN: (纸本)0818679204

We propose a new image compression scheme based on fractal coding of a wavelet transform coefficients using a fast non-iterative algorithm for the codebook generation. The original image is first decomposed into subbands containing information indifferent spatial directions and different scales, using an orthogonal wavelet filter bank. Subbands are encoded using local Iterated Function Systems (LIFS) with range and domain blocks presenting horizontal or vertical directionalities. Their sizes are estimated according to the correlation lengths and resolution of each subband. The computational complexity is greatly decreased by using subband decomposition. In addition a fast non-iterative algorithm is implemented for the blocks classification. This algorithm creates progressively the codebook during only one scanning of the training set. We proves the efficiency of the proposed approach both in terms of PSNR/bit rate and computation time.

关键词： image compression

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3D-PMDC: A PARALLELIZED MORPHOLOGICAL wavelet CODEC FOR 3D MEDICAL DATASETS AND TELERADIOLOGY applications

3D-PMDC: A PARALLELIZED MORPHOLOGICAL WAVELET CODEC FOR 3D M...

引用

18th IEEE International conference on image processing (ICIP)

作者： Signoroni, Alberto Pezzoni, Mario Leonardi, Riccardo Univ Brescia I-25121 Brescia Italy

ISBN: (纸本)9781457713033

Modern medical imaging modalities produce increasingly large datasets. This trend can be in contrast with the computation and transmission time requirements coming from critical teleradiology applications. Multidimensional image compression techniques can be considered as enabling solutions on condition that they are able to guarantee a suitable combination of rate- distortion and computational performance which fulfill all the application domain requirements. In this work, we present a parallel version of our 3D Embedded Morphological Dilation Coding algorithm that allows a significant reduction of computation costs and the concurrent conservation of coding performance and of other relevant bitstream properties. A comparison with the recently released JPEG2000 part 10 (JP3D) standard put in evidence the value of the proposed solution, especially for teleradiology applications over heterogeneous networks.

关键词： Medical image coding parallel computing wavelet coding morphology teleradiology JPEG2000 part 10

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wavelet smoothing of functional magnetic resonance images: A preliminary report

Wavelet smoothing of functional magnetic resonance images: A...

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wavelets - applications in signal and image processing X conference

作者： Lucier, BJ Purdue Univ Dept Math W Lafayette IN 47907 USA

ISBN: (纸本)0819450804

Functional (time-dependent) Magnetic Resonance Imaging can be used to determine which parts of the brain are active during various limited activities;these parts of the brain are called activation regions. In this preliminary study we describe some experiments that are suggested, from the following questions: Does one get improved results by analyzing the complex image data rather than just the real magnitude image data? Does wavelet shrinkage smoothing improve images? Should one smooth in time as well as within and between slices? If so, how should one model the relationship between time smoothness (or correlations) and spatial smoothness (or correlations). The measured data is really the Fourier coefficients of the complex image-should we remove noise in the Fourier domain before computing the complex images? In this preliminary study we describe some experiments related to these questions.

关键词： functional magnetic resonance imaging complex wavelets Daubechies wavelets wavelet shrinkage wavelet smoothing activation regions

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image denoising based on curvelet transform and continuous threshold

Image denoising based on curvelet transform and continuous t...

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International conference on Pervasive Computing signal processing and applications (PCSPA)

作者： Yuan, Ruihong Tang, Liwei Wang, Ping Yao, Jiajun Department of Artillery Engineering Ordnance Engineering College Shijiazhuang China

ISBN: (纸本)9780769541808

Curvelet transform is more suitable than wavelet transform for planar image processing. The theory of curvelet transform is introduced. Noise-image is carried on decomposition based on curvelet transform, and distribution characteristics of noise are analyzed. Applying a quantization method of using threshold of which the function is continuous and differentiable is proposed, to remedy disadvantages of quantization methods of using traditional thresholds. Then the method of image denoising is confirmed. The experimental results show that applying the proposed approach can obtain better quality, compared with other methods. © 2010 IEEE.

关键词： wavelet transforms

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