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检索条件"任意字段=Wavelets - Applications in Signal and Image Processing X Conference"

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B-spline quincunx wavelet transform and implementation in Fourier domain

B-spline quincunx wavelet transform and implementation in Fo...

引用

conference on Intelligent Robots and Computer Vision xVII - Algorithms, Techniques, and Active Vision

作者： Nicolier, F Laligant, O Truchetet, F Univ Burgundy Le2i IUT F-71200 Le Creusot France

ISBN: (纸本)081942983X

In this paper an efficient method is presented to cope with the need of phase linear filters in orthonormal wavelet transform for image processing. Phase linear filtering can be obtained in two dimensions by using Cohen/Daubechies biorthogonal wavelets. But as orthogonal analysis is preferable, anew method to construct orthonormal bidimensional wavelet base in the quincunx scheme is proposed. These filters are designed by applying the McClellan Transform on 1-D B-spline filters in order to get 2-D orthonormal quincunx non-separable ones. This method takes advantage of the orthogonality of the analysis and of the quincunx scheme, indeed these filters lead to only one approximation image and only one detail image. The interscale resolution given by this analysis is twice more accurate than in the case of a separable analysis and the wavelet functions have better isotropic and frequency properties than those previously proposed by Feauveau. The main drawback is the infinite impulse response (IIR) filters involved. It is commonly admitted that in the case of IIR filtering it is a good idea to work in Fourier space. So an optimization of this approach is proposed, with an integration in frequency space of the operations involved in Mallat's algorithm in the case of non-separable quincunx analysis, including over- and sub- sampling af finite length two dimensional signal. A comparison of this method with the classical one shows its great interest, this is, also, illustrated by an application of this multiresolution analysis performed on an image.

关键词： image processing orthonormal wavelet analysis phase linear IIR filtering non-separable wavelets

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Independent component analysis (ICA) using wavelet subband orthogonality 5

Independent component analysis (ICA) using wavelet subband o...

引用

SPIE conference on Wavelet applications V

作者： Szu, H Hsu, C Yamakawa, T Univ SW Louisiana Ctr Adv Comp Studies Lafayette LA 70504 USA

ISBN: (纸本)081942840X

There are two kinds of RRP: (1) invertible ones, such as global Fourier Transform (FT), local Wavelet Transform (WT), and Adaptive Wavelet Transform (AWT);and (2) non-invertible ones, e.g. ICA including the global Principle Component Analysis (PCA). The invertible FT and WT can be related to the non-invertible ICA when the continuous transforms are approximated in discrete matrix-vector operations. The landmark accomplishment of ICA is to obtain, by unsupervised learning algorithm, the edge-map as image feature (a) over right arrow, shown by Helsinki researchers using fourth order statistics of (u) over right arrow - Kurtosis K((u) over right arrow), and derived from information-theoretical first principle of ICA by Bell & Sejnowski [6,7,8]. The data de-correlation pre-processing is augmented by the orthogonality property of the DWT subband used necessarily for usual image compression. If we take the advantage of the subband de-correlation, we have potentially an efficient utilization of a pair of communication channels if we could send several more mixed subband images through the pair of channels.

关键词： Independent component analysis Discrete wavelet transforms image compression Linear filtering Fourier transforms image filtering Wavelet transforms wavelets image processing Principal component analysis

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Watermark design for embedded wavelet image codec

Watermark design for embedded wavelet image codec

引用

conference on applications of Digital image processing xxI

作者： Wang, HJ Kuo, CCJ Univ So Calif Integrated Multimedia Syst Ctr Los Angeles CA 90089 USA

ISBN: (纸本)0819429155

A new scheme to search perceptually significant wavelet coefficients for effective digital watermark casting is proposed in this research, An adaptive method is developed to determine significant subbands and select a number of significant coefficients in these subbands. Experimental results show that the cast watermark can be successfully retrieved after various attacks including signal processing, geometric processing, noise adding, JPEG and wavelet-based compression methods.

关键词： digital watermark wavelet transform data hiding

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Atmospheric attenuation reduction through multi-sensor fusion

Atmospheric attenuation reduction through multi-sensor fusio...

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conference on Sensor Fusion - Architectures, Algorithms, and applications II

作者： Grewe, L Brooks, RR Calif State Univ Monterey Bay Inst Commun Sci & Technol Seaside CA 93955 USA

ISBN: (纸本)0819428256

The visualization of a scene in murky atmospheric conditions is improved by fusing multiple images. A key feature of this system is the use of the wavelet domain in the fusion process. Many possible fusion formulas in this domain exist and to find the "best" formula, we formulate an optimization problem. We assume a set of training data consisting of a sequence of images with the presence of atmospheric effects and the corresponding image with no atmospheric effects present (ground truth). Next, we perform a search over the parameter space of our "generic fusion formula" attempting to minimize the error between the original ground truth image and the image created by fusing the noisy data. Using the resulting "best" fusion formula, we have created a system for pixel level fusion. Experimental results are shown and discussed. Possible applications of this system include processing of outdoor security system data, filters for outdoor vehicle image data and use in heads-up displays.

关键词： sensor fusion wavelets tabu search fog atmospheric attenuation

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image enhancement for pattern recognition

Image enhancement for pattern recognition

引用

SPIE conference on Detection and Remediation Technologies for Mines and Minelike Targets III

作者： Huynh, Q Neretti, N Intrator, N Dobeck, G Brown Univ Inst Brain & Neural Syst Providence RI 02912 USA

ISBN: (纸本)0819428418

We investigate various image enhancement techniques geared towards a specific detector. Our database consists of side-scan sonar images collected at the Naval Surface Warfare Center (NSWC), and the detector we use has proven to have excellent results on these data. We start by investigating various wavelet and wavelet packet denoising methods. Other methods we consider are based on more common filters (gaussian and DOG filters). In wavelet based denoising we try different approaches, combining techniques that have been succesfully used in signal and image denoising. We notice that the performance is mostly affected by the choice of the scale levels to which shrinkage is applied. We demonstrate that wavelet denoising can significantly improve detection performance while keeping low false alarm rates.

关键词： image processing wavelets pattern recognition

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Fuzzy system for detecting microcalcifications in mammograms

Fuzzy system for detecting microcalcifications in mammograms

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conference on applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation

作者： Strickland, RN Theodosiou, T Univ Arizona Dept Elect & Comp Engn Tucson AZ 85721 USA

ISBN: (纸本)0819429104

We present a fuzzy classifier for detecting microcalcifications in digitized mammograms. The classifier post-processes the output from a wavelets-based multiscale correlation filter. Each local peak in the correlation filter output is represented by a set of five features describing the shape, size and definition of the peak. These features are used in linguistic rules by a fuzzy system that is trained to distinguish between microcalcifications and normal mammogram texture. In borderline cases where microcalcifications are buried in dense tissue or appear only faintly, simply drawing a straight threshold across the feature vector values will likely not produce the correct classification. The fuzzy system allows the effective "threshold" to be drawn across ranges of feature values depending upon how they interact with one another. Compared to wavelet processing alone, the fuzzy detection system produces a significant increase in true positive fraction when tested on a public domain mammogram database.

关键词： Fuzzy logic wavelets Fuzzy systems Mammography Tissues Databases Rule based systems Gaussian filters Breast image filtering

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Natural waveform translation and scaling in early vision 5

Natural waveform translation and scaling in early vision

引用

SPIE conference on Wavelet applications V

作者： Brooks, G USAF Res Lab Munit Directorate Adv Guidance Div Eglin AFB FL 32542 USA

ISBN: (纸本)081942840X

The wavelet transform dilates and translates a selected fundamental wavelet. Selective sampling of the continuous wavelet transform identifies discrete components used as a basis for signal projections. Similarly, some properties of early vision may be described in terms of dilations and translations of fundamental waveforms. Examples include the optical point spread function, spectral absorption curves of photoreceptors, receptive fields of photoreceptors, receptive fields of post-receptor cells, and eye movements. These vision features are described with respect to the dilation and translation of candidate waveforms. Spatial, temporal, and chromatic filtering in the vision pathways are also described with respect to similarities with wavelet subband analysis.

关键词： vision processing vision filters vision models early vision nonorthogonal wavelets

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Doppler frequency estimation with wavelets and neural networks 5

Doppler frequency estimation with wavelets and neural networ...

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SPIE conference on Wavelet applications V

作者： Noel, SE Szu, HH Gohel, YJ USN Ctr Surface Warfare Dahlgren Div Dahlgren VA 22448 USA

ISBN: (纸本)081942840X

In this paper we apply the continuous wavelet transform, along with multilayer feedforward neural networks, to the estimation of time-dependent radar doppler frequency. The wavelet transform employs the real-valued Morlet wavelet, which is well matched to the doppler signals of interest. The neural networks are trained with the Levenberg-Marquardt rule, which is much faster than purely gradient-descent learning algorithms such as backpropagation. We also apply Donoho's wavelet denoising with the novel super-Haar wavelet to improve performance for noisy signals. The techniques are applied to the problem of radar proximity fuzing.

关键词： continuous wavelet transform radar signal processing feedforward neural networks wavelet denoising Morlet wavelet super-Haar wavelet

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Multi-scale B-spline snakes for general contour detection

Multi-scale B-spline snakes for general contour detection

引用

conference on Wavelet applications in signal and image processing VI

作者： Brigger, P Unser, M NIH Bethesda MD 20892 USA

ISBN: (纸本)0819429139

Traditional snakes suffer from slow convergence speed (many control points) and difficult to adjust weighting factors for internal energy terms. We propose an alternative formulation using cubic B-splines, where the knot spacing is variable and controlled by the user. A larger knot spacing allows to reduce the number of parameters, which increases optimization speeds. It also eliminates the need for internal energies, which improves user interactivity. The optimization procedure is embedded into a multi-resolution image representation, where the number of snake-points is adapted to the image grid spacing by correctly adjusting the spline knot spacing. Hence, the proposed method provides a multi-scale approach in both the image and parametric contour domain. Our technique provides fast optimization of the initial snake curve and leads to more stable algorithms in noisy imaging environments. Several biomedical examples of applications are included to illustrate the versatility of the method.

关键词： image segmentation Optimization (mathematics) Brain image enhancement image resolution Mathematical modeling Arteries Biomedical optics Magnetic resonance imaging Ultrasonography

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Dedicated advanced software facility for processing data from earth observing satellites

Dedicated advanced software facility for processing data fro...

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SPIE conference on Earth Observing Systems III

作者： Lampropoulos, GA Boulter, JF AUG Signals Ltd Toronto ON M4V 1K7 Canada

ISBN: (纸本)0819428949

In this paper, a general philosophy about feature windows based applications and a windows-based application are presented for analysis, algorithm development, testing and validation studies for signal, image and Data processing (SIDP) for Space-Based Surveillance (SBS) applications. This dedicated facility is called AUG_SIDP. It performs several specialized tasks such as blur estimation, restoration, CFAR detection, clutter modeling, registration, pixel and data level fusion, target tracking and classification. It is still in the development and testing phase.

关键词： image processing Algorithm development Detection and tracking algorithms Sensors Expectation maximization algorithms image processing algorithms and systems Standards development image segmentation Optical filters Target detection

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