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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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A new least squares minimum error variance deconvolution method

A new least squares minimum error variance deconvolution met...

引用

conference on applications of Digital image processing xxI

作者： Ibrahim, MA Hussein, AWF Mashali, SA Mohamed, AH Elect Res Inst Comp & Syst Dept Cairo Egypt

ISBN: (纸本)0819429155

We propose to minimize a cost function, which depends on the values of the input signal to a linear rime-invariant system, to reach an optimal estimation of this input signal. This cost function is the square of the error signal between the output and the convolution of the estimated input with the blurring system. The minimization of the cost function is done using an optimization technique which requires the use of an initial estimation of the input signal. Van-Cittert deconvolution method gives this required initial estimation. Singular value decomposition technique is used in estimating the improved input signal.

关键词： deconvolution signal restoration and least squares optimization

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Real-time wavelet based target tracking

Real-time wavelet based target tracking

引用

conference on Intelligent Systems in Design and Manufacturing

作者： Friend, KR Banta, L W Virginia Univ Coll Engn & Mineral Resources Dept Aerosp & Mech Engn Morgantown WV 26506 USA

ISBN: (纸本)0819429783

One of the most widely used applications of digital imaging in manufacturing is product inspection. Real-time control of robot motion is second emerging area. In both applications, detection and tracking of moving targets in the image are desirable and in some cases necessary abilities. Current hardware equal to this task is still extremely expensive, limiting its application in low-end manufacturing venues. Despite dramatic increases in processing speed for digital images, tracking moving targets in high-resolution images is still difficult for personal computer based systems. Various forms of image sampling have been used over the years to overcome this problem, allowing processing of a smaller number of pixels by localized searches, multiresolution processing, and other methods. Recently wavelet analysis has become popular as a powerful means of image compression and processing. In this work, Daubechies wavelets are used as basis functions for compressing sequences of images containing targets which include motion in three-dimensions (x and y translations plus rotation) against background clutter. The wavelet coefficients me used as an alternative representation of the image, and analysis is carried out to identify and track targets in the wavelet space. Inverse transformations to Cartesian space will be used to characterize the target motion once it has been determined in the wavelet domain. Preliminary results of the research. are shown.

关键词： wavelet transforms multiresolution analysis Daubechies image compression

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Optoelectronic system for space variant signal and image processing 2

Optoelectronic system for space variant signal and image pro...

引用

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

作者： Shames, PE Laut, S Ambs, P Fainman, Y Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA

ISBN: (纸本)081942921X

We present a study on a high-speed optoelectronic system for implementing space variant transforms (SVT) in image and signal processing using a Hough Transform (HT) as an example. The HT has been found to be highly useful in applications requiring detection of lines, ellipses and hyperbolic shapes, such as radar detection and data fusion, topographical map analysis, etc. However, the implementation of a SVT such as HT, is computation and memory intensive, e.g. HT of an image of dimension N x N requires greater than N-3 operations. All-electronic systems remain inadequate when real time SVT processing of large data sets is required. In this paper we show that an optoelectronic (OE) system employing parallel processing can perform such SVT requiring on the order of only N steps. We show that our proposed OE system can HT an input image of dimension N = 1024 in 2.1 ms.

关键词： space-variant transforms Hough transforms optoelectronic system computer-generated hologram image and signal processing

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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

引用

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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