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conference on Wavelet applications in signal and image processing VI

作者： Benedetto, JJ Pfander, GE Univ Maryland Dept Math College Pk MD 20742 USA

ISBN: (纸本)0819429139

This paper deals with the analysis of time series with respect to certain known periodicities. In particular, we shall present a fast method aimed at detecting periodic behavior inherent in noisy data. The method is composed of three steps: 1. Non-noisy data are analyzed through spectral and wavelet methods to extract specific periodic patterns of interest. 2. Using these patterns, we construct an optimal piecewise constant wavelet designed to detect the underlying periodicities. 3. We introduce a fast discretized version of the continuous wavelet transform, as well as waveletgram averaging techniques, to detect occurrence and period of these periodicities. The algorithm is formulated to provide real time implementation. Our procedure is generally applicable to detect locally periodic components in signals s which can be modelled as s(t) = A(t)F(h(t)) + N(t) for t in I, (1) where F is a periodic signal, A is a non-negative slowly varying function, and h is strictly increasing with h' slowly varying. N denotes background activity. For example, the method can be applied in the context of epileptic seizure detection. In this case, we try to detect seizure periodics in EEG and ECoG data. In the case of ECoG data, N is essentially 1/f noise. In the case of EEG data and for t in I, N includes noise due to cranial geometry and densities.(1, 2) In both cases N also includes standard low frequency rhythms.(3) Periodicity detection has other applications including ocean wave prediction, cockpit motion sickness prediction, and minefield detection.

关键词： optimal piecewise constant wavelets waveletgram averaging

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image processing LSI "ISP-IV" based on local parallel architecture and its applications

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IEEE International conference on image processing

作者： Muramatsu, S Kobayashi, Y Araoka, M Hirose, K Onizawa, S Hitachi Ltd Hitachi Res Lab Kokubunji Tokyo Japan

ISBN: (纸本)0818688211

We have developed an image processing LSI "ISP-IV" for real-time imaging systems such as a security surveillance system, an advanced inspection system, and a traffic control system. The main characteristics of the ISP-IV are as follows: (1) the video interface, PCI controller memory controller and image processor are unified on one chip. (2) Basic image processing (Laplacian, smoothing, median filter, etc,) is processed in 73.5MHz (512 x 512 pixels image with 8 bits/pixel is done in 3.6ms). (3) Tracking/search processing is high speed due to the nine-parallel Gray Search Engine Units (GSEUs). (3) Color extraction of YUV color images is processed in real-lime by functions supporting color transform. In this paper we report the performance of the ISP-IV by evaluating several practical applications using the IP5000 Series equipped with the ISP-IV.

关键词： image processing

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3-D wavelet image processing for spatial and spectral resolution of Landsat images 5

3-D wavelet image processing for spatial and spectral resolu...

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SPIE conference on Wavelet applications V

作者： Jones, KJ Rice Univ RIMS Lab Houston TX 77005 USA

ISBN: (纸本)081942840X

The purpose of this investigation is to apply 3-D wavelet denoising to resolve spatial, as well as spectral, data in Landsat images. The use of multiple thresholds will be extended to achieve image classification. Wavelet denoising has been shown to be effective for noise reduction in 1-D signals and 2-D images. 3-D wavelet transforms have the potential for multiresolution surface reconstruction from volume data. 3-D wavelet denoising will be applied to spatial (2-D) and spectral (1-D) data. Landsat images were produced from a multispectral scanner on Landsat satellites. Wavelet have been used to achieve some level of image classification. Finer classification can be achieved in agricultural areas because of temporal difference between crops and because of spectral differences in transmission spectra. Varying threshold should achieve image classification based on spectral difference between crops. 3-D wavelet data processing is expected to offer greater potential for improving resolution of volume data. Use of multithreshold for spectral resolution might be usefully applied to images generated by nonvisible wavelengths: radar, IR and laser radar.

关键词： wavelets denoising image processing Landsat

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Optical implementation of the wavelet transform using smart pixels

Optical implementation of the wavelet transform using smart ...

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7th International Spring School on Acousto-Optics and its applications / 3rd Advances in Acousto-Optics Symposium

作者： Litynski, DM Shoop, B Hall, D Das, P DeCusatis, C US Mil Acad EE&CS Dept W Point NY 10996 USA

ISBN: (纸本)081943048X

Wavelet transforms have found many practical applications in signal processing, including image processing, pattern recognition, and feature extraction. Since the wavelet transform is fundamentally given by the correlation of an input signal with a family of daughter wavelets, any real-time correlator can be used to implement the wavelet transform. Optical correlators are particularly well suited to this application, since the wavelet transform of a one-dimensional signal produces a two-dimensional wavelet transform. In this paper, we discuss implementations of the wavelet transform using acousto-optic correlators and smart pixels as spatial light modulators. Smart pixels integrate both electronic processing and optical devices in a two-dimensional array, which takes full advantage of the programmability of electronics and the parallel processing of optical devices. We describe a specific smart pixel implementation consisting of analog liquid crystal integrated on silicon 2.0-mu m CMOS circuitry;and present experimental results of the wavelet transform implementation. An acousto-optic architecture for real-time wavelet correlators using this device will also be presented.

关键词： wavelet transform smart pixel acousto-optic correlator signal processing

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Optimization of filter banks based on properties of the input signal 9

Optimization of filter banks based on properties of the inpu...

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9th European signal processing conference, EUSIPCO 1998

作者： Vaidyanathan, P.P. Dept. Electrical Engr. California Institute of Technology PasadenaCA91125 United States

Filter banks and wavelets have found applications in signal compression, noise removal, and in many other signal processing contexts. In this tutorial we review a number of recent results on the optimization of filter banks based on the knowledge of the input. The main emphasis will be the minimization of error due to subband quantization, and its connection to principal component reconstruction. Both uniform and nonuniform filter banks are considered.

关键词： Filter banks

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Application of adaptive joint time-frequency processing to ISAR image enhancement and Doppler feature extraction for targets with rotating parts

Application of adaptive joint time-frequency processing to I...

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conference on Radar processing, Technology, and applications III

作者： Wang, Y Ling, H Chen, VC Univ Texas Dept Elect & Comp Engn Austin TX 78712 USA

ISBN: (纸本)0819429171

A new methodology based on adaptive joint time-frequency processing is proposed to separate the interference due to fast rotating parts from the original ISAR image of the target. The technique entails adaptively searching for the linear chirp bases which best represent the time-frequency behavior of the signal and fully parameterizing the signal with these basis functions. The signal components due to the fast rotating part are considered to be associated with those chirp bases having large displacement and slope parameters, while the signal components due to the target body motion are represented by those chirp bases having relatively small displacement and slope parameters. By sorting these chirp bases according to their slopes and displacements, the scattering due to the fast rotating part can be separated from that due to the target body. Consequently, the image artifacts overlapping with the original image of the target can be removed and a clean ISAR image can be produced. Furthermore, useful rotation rate information contained in the Doppler signal can be extracted. Successful applications of the algorithm to numerically simulated and measurement data show the robustness of the algorithm.

关键词： ISAR imaging Doppler smearing fast rotating parts adaptive joint time-frequency processing

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Looking to build a model world: Automatic construction of static object models using computer vision

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ELECTRONICS & COMMUNICATION ENGINEERING JOURNAL 1998年第3期10卷 103-113页

作者： Illingworth, J Hilton, A Univ Surrey Sch Elect Engn Informat Technol & Math Ctr Vis Speech & Signal Proc Guildford GU2 5XH Surrey England

Recent interest in virtual reality and multimedia has provided a great impetus to the development of automatic techniques for building graphical CAD/CAM models of objects and environments by sensing reality itself. The learning of models in this way is essential, particularly in terms of production times and attaining the required high fidelity needed for many applications Research has produced techniques for extracting full 3D shape models using a variety of sensors and a spectrum of techniques. These include the use of static video cameras, mobile video cameras (e.g. walk through video), multiple camera platforms and/or specialist active range sensors (typically based on laser striping or sonar). This paper introduces the principles and methodologies underlying several of these methods and presents algorithms and examples from systems representative of three major approaches: models from silhouettes, models from active range sensors and, finally, models from passive uncalibrated video sequences.

关键词： graphical CAD/CAM models walk through video video signal processing multiple camera platform 3D shape models static video cameras production times Graphics techniques automatic construction computer vision silhouettes multimedia laser striping sonar mobile video cameras Computer vision and image processing techniques virtual reality solid modelling static object models active range sensors model world passive uncalibrated video sequences image sequences

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ISAR imaging of targets with fast rotating parts using adaptive joint time-frequency processing 5

ISAR imaging of targets with fast rotating parts using adapt...

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SPIE conference on Wavelet applications V

作者： Wang, Y Ling, H Chen, VC Univ Texas Dept Elect & Comp Engn Austin TX 78712 USA

ISBN: (纸本)081942840X

Based on the adaptive joint time-frequency processing techniques, a new methodology is proposed in this paper to separate the interference due to fast rotating parts from the original ISAR image of the target. The technique entails adaptively searching for the linear chirp bases which best represent the time-frequency behavior of the signal and fully parameterizing the signal with these basis functions. The signal components due to the fast rotating part are considered to be associated with those chirp bases having large displacement and slope parameters, while the signal components due to the target body motion are represented by those chirp bases which have relatively small displacement and slope parameters. By sorting these chirp bases according to their slopes and displacements, the scattering due to the fast rotating part can be separated from that due to the target body. Consequently, the image artifacts overlapping with the original image of the target can be well removed and a clean ISAR image can be produced. Successful applications of the algorithm to numerically simulated and measurement data show the robustness of the algorithm.

关键词： ISAR imaging Doppler smearing fast rotating parts adaptive joint time-frequency processing

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Analog spatial light modulators advances and applications

Analog spatial light modulators advances and applications

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conference on Spatial Light Modulators

作者： Serati, S Bauchert, K Boulder Nonlinear Syst Inc Boulder CO 80301 USA

ISBN: (纸本)0819427314

The performance and operation of high-speed, liquid crystal spatial light modulators are discussed in relation to a variety of system-level aspects. The issues involving the use of these devices in optical processing systems are the primary focus of this paper, but other applications such as ultra-video imaging and beamsteering are also included in the discussion.

关键词： Spatial light modulators Analog electronics Modulators Optical signal processing Charge-coupled devices Binary data image processing Sensors signal processing signal to noise ratio

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processing of multi-sensor data using correlation filters 2

Processing of multi-sensor data using correlation filters

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conference on Algorithms, Devices, and Systems for Optical Information processing

作者： Mahalanobis, A Raytheon Missile Syst Co Tucson AZ 85731 USA

ISBN: (纸本)081942921X

The theory of correlation filters does not make any assumptions about the sensor or image format. Thus the same class of algorithms is readily applicable to multiple sensor environments such as IR, SAR, LADAR, or CCD (visual). The advantage is that the same theory is valid for multiple sensor applications, the processing steps are common (and code) are re-usable in different sensor platforms, and the algorithms are rapidly re-trainable. The paper points out the key benefits resulting from the general formulation and solution resulting from the correlation approach to ATR.

关键词： Sensors Filtering (signal processing) image filtering image processing Automatic target recognition Detection and tracking algorithms image sensors Data processing signal processing Synthetic aperture radar

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