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

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Comparisons of linear and nonlinear pyramid schemes for signal and image processing 8

Comparisons of linear and nonlinear pyramid schemes for sign...

引用

conference on Nonlinear image processing viii

作者： Morales, A Ko, SS KOREA UNIV DEPT ELECT ENGNSEOUL 136701SOUTH KOREA

ISBN: (纸本)0819424374

Linear filters banks are being used extensively in image and video applications. New research results in wavelet applications for compression and de-noising are constantly appearing in the technical literature. On the other hand, non-linear filter banks are also being used regularly in image pyramid algorithms. There are some inherent advantages in using non-linear filters [1] instead of linear filters when non-Gaussian processes are present in images. However, a consistent way of comparing performance criteria between these two schemes has not been fully developed yet. In this paper a recently discovered tool, sample selection probabilities [16], is used to compare the behavior of linear and non-linear filters. In [16] the conversion from weights of order statistics (OS) filters to coefficients of the impulse response is obtained through these probabilities, However, the reverse problem: the conversion from coefficients of the impulse response to the weights of OS filters is not yet fully understood. One of the reasons for this difficulty is the highly non-linear nature of the partitions and generating function used in [16]. In the present paper the problem is posed as an optimization of integer linear programming subject to constraints directly obtained from the coefficients of the impulse response. Although the technique to be presented is not completely refined, it certainly appears to be promising. Some results will be shown.

关键词： Nonlinear filtering Digital filtering Linear filtering image processing Computer programming Lithium image filtering Nonlinear image processing Nonlinear optics signal processing

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Multiresolution wedgelet transform for image processing

Multiresolution wedgelet transform for image processing

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wavelet applications in signal and image processing viii

作者： Claypoole Jr., Roger L. Baraniuk, Richard G. Air Force Inst of Technology Wright-Patterson Air Force Base United States

Edges in images convey a great deal of information, but wavelet transforms do not provide an economical representation. Thus, popular wavelet-based compression and restoration techniques perform poorly in the presence of edges. We present here a new multiresolution wedgelet transform based on the lifting construction. This transform provides an economical edge representation and thus offers the potential for improved image processing. We demonstrate this potential with applications in image denoising.

关键词： image reconstruction

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wavelet based algorithm for acoustic detection of moving ground and airborne targets

Wavelet based algorithm for acoustic detection of moving gro...

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conference on wavelet applications in signal and image processing viii

作者： Averbuch, AZ Zheludev, VA Kozlov, I Tel Aviv Univ Dept Comp Sci IL-69978 Tel Aviv Israel

ISBN: (纸本)0819437646

We detect the presence of a vehicle or an air borne target from a certain class via the analysis of its acoustic signature against an existing database of recorded and processed acoustic signals. To achieve this detection with no false alarms we construct the acoustic signatures of certain targets to be found by the distribution of the energies among blocks which consist of wavelet packet coefficients. We developed an efficient procedure for adaptive selection of the characteristic blocks. We modified the CART algorithm in order to utilize it as a decision unit in our scheme. A wide series of field experiments manifested a remarkable efficiency of the algorithm. The detection had been achieved practically with no false alarms even under severe conditions such as the acoustic recording of sought-after object was a superposition of the acoustics emitted from other targets that belong to other classes. The detection was even immune to severe noisy surroundings.

关键词： wavelet packets discriminant blocks acoustic signature CART algorithm

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LOGARITHMIC MULTIRESOLUTION ANALYSIS

LOGARITHMIC MULTIRESOLUTION ANALYSIS

引用

IEEE International conference on image processing (ICIP)

作者： Navarro, Laurent Jourlin, Michel Courbebaisse, Guy Ecole Natl Super Mines CIS EMSE CNRS UMR 5307LGF F-42023 St Etienne France Univ St Etienne Lab H Curien CNRS UMR 5516 St Etienne France UCB Lyon1 CREATIS CNRS UMR 5220INSERMU1044INSA Lyon Lyon France

ISBN: (纸本)9781479983391

Recently, a logarithmic image processing model called Symmetric Logarithmic image processing (S-LIP) has been investigated in the framework of the multiresolution analysis (MRA) performed by wavelet transform. The S-LIP model is an extension of the Logarithmic image processing (LIP) model. The motivation of this work is to implement classical wavelet applications in the S-LIP framework. The underlying idea is to take advantage of both the multiscale analysis performed by the wavelet transform and the logarithmic processing of the pixels' intensity by the S-LIP model. The S-LIP wavelet transform is introduced and applied to automatic denoising in order to highlight its intrinsic characteristics. As an illustration, signal-to-Noise Ratios for both the linear wavelet transform and S-LIP wavelet transform are calculated for different levels of Gaussian, Poisson, Speckle and salt-and-pepper noises.

关键词： wavelet Transform Logarithmic image processing Symmetric Logarithmic image processing Denoising

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Activation detection in fMRI data via multiscale singularity detection

Activation detection in fMRI data via multiscale singularity...

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conference on wavelet applications in signal and image processing viii

作者： Mekle, R Laine, AF Perera, GM DeLaPaz, R Columbia Univ Dept Biomed Engn New York NY 10027 USA

ISBN: (纸本)0819437646

Detection of active areas in the brain by functional magnetic resonance imaging (fMRI) is a challenging problem in medical imaging. Moreover, determining the onset and end of activation signals at specific locations in 3-space can determine networks of temporal relationships required for brain mapping. We introduce a method for activation detection in fMRI data via wavelet analysis of singular features. We pose the problem of determining activated areas as singularity detection in the temporal domain. Overcomplete wavelet expansions at integer scales are used to trace wavelet modulus maxima across scales to construct maxima lines. From these maxima lines, singularities in the signal are localized corresponding to the onset and end of an activation signal. We present results for simulated phantom waveforms and clinical fMRI data from human finger tapping experiments. Different levels of noise were added to two waveforms of phantom data. No assumptions about specific frequency and amplitude of an activation signal were made prior to analysis. Detection was reliable for modest levels of random noise, but less precise at higher levels. For clinical fMRI data, activation maps were comparable to those of existing standard techniques.

关键词： singularity detection fMRI brain imaging wavelet modulus maxima

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wavelet signal processing applied to Optical Phase Conjugation

Wavelet signal processing applied to Optical Phase Conjugati...

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conference on wavelets - applications in signal and image processing IX

作者： Jones, KJ Rice Univ Dept Math Houston TX 77005 USA

ISBN: (纸本)0819441929

wavelet signal processing has demonstrated remarkable capabilities in reducing noise, achieving better resolution through edge detection and increasing data transmission by means of data compression. While wavelets are digital, another field, Optical Phase Conjugation (OPC), is analog and has been applied to similar problems: signal and image distortion reduction and optical data storage. wavelets have been applied to optical solitons, laser beam diagnostics, diode laser arrays, interferometry and optical correlators. wavelet signal processing will be applied to Optical Phase Conjugation to examine laser beam interaction in nonlinear crystals and remove distortion from input and output laser beams.

关键词： wavelet signal processing optical phase conjugation optical data storage noise reduction Morlet wavelets photorefractive memories

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Edge-Based image Watermarking Method with Weighted Discrete Cosine Transform Coefficients 30

Edge-Based Image Watermarking Method with Weighted Discrete ...

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30th IEEE signal processing and Communications applications conference (SIU)

作者： Karakis, Rukiye Gurkahraman, Kali Sivas Cumhuriyet Univ Yazihm Muhendisligi Bolumu Sivas Turkey Sivas Cumhuriyet Univ Bilgisayar Muhendisligi Bolumu Sivas Turkey

ISBN: (纸本)9781665450928

In image watermarking, hybrid approaches increase imperceptibility and robustness. Also, a scaling factor is used, which should be optimized when combining the cover image and watermark. In this study, discrete wavelet transform and discrete cosine transform (DCT) were used together. The watermark-edge image was obtained by randomly inserting the watermark on the horizontal, vertical and diagonal edge points of the cover image detected with Sobel. The DCT frequency components of the watermark-edge image were weighted with a generated matrix and combined with the DCT of the cover image. According to the obtained results, the proposed method is imperceptible and robust to various attacks, especially JPEG compression and noise attacks.

关键词： image watermarking edge detection scaling factor discrete wavelet transform discrete cosine transform

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Pavement images Denoising with Cracks Detection and Classification Using 2D Discrete wavelet Transform and Savitzky-Golay Filters

Pavement Images Denoising with Cracks Detection and Classifi...

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

作者： Hamici, Zoubir Obaidat, Turki I. Al-Suleiman Al Zaytonnah Univ Jordan Elect Engn Dept Amman Jordan Al Zaytonnah Univ Jordan Civil Engn Dept Amman Jordan

ISBN: (纸本)9781728133775

image processing has gained an increased usage and impact in modern pavement networks automatic distress severity classification (DSC). DSC defines priorities and maintenance resources optimum allocation in order to achieve a cost-effective rehabilitation process. This paper presents a novel computer vision algorithm having the ability to process, isolate and evaluate the distress severity level of a pavement. A pavement color image is converted to grayscale and then processed for image denoising of the granularity and complex texture that represent and artifact in cracks edge detection. The processing is achieved by a 2D dual-tree double density wavelet transform filter banks that significantly reduces the granularity noise while preserving the pavement cracks for edge detection. The 2D wavelet FIR filters perform analysis, soft thresholding then a synthesis of the image. The second step is then an edge detection process followed by morphological filtering and labeled components size-histogram filter to isolate false edges as residuals of denoising. A final step is performed by two Savitzky-Golay filters for the detection of longitudinal and transverse alligator cracks projections. A weighted score function with multiple parameters is used for DSC.

关键词： Computer vision wavelets filter-banks Denoising Savitzky-Golay Filters Pavement Cracks

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Multiscale image segmentation using joint texture and shape analysis

Multiscale image segmentation using joint texture and shape ...

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conference on wavelet applications in signal and image processing viii

作者： Neelamani, R Romberg, J Choi, H Riedi, R Baraniuk, R Rice Univ Dept Elect & Comp Engn Houston TX 77005 USA

ISBN: (纸本)0819437646

We develop a general framework to simultaneously exploit texture and shape characterization in multiscale image segmentation. By posing multiscale segmentation as a model selection problem, we invoke the powerful framework offered by minimum description length (MDL). This framework dictates that multiscale segmentation comprises multiscale texture characterization and multiscale shape coding. Analysis of current multiscale maximum a posteriori (MAP) segmentation algorithms reveals that these algorithms implicitly use a shape coder with the aim to estimate the optimal MDL solution, but find only an approximate solution. Towards achieving better segmentation estimates, we first propose a shape coding algorithm based on zero-trees which is well-suited to represent images with large homogeneous regions. For this coder, we design an efficient tree-based algorithm using dynamic programming that attains the optimal MDL segmentation estimate. To incorporate arbitrary shape coding techniques into segmentation, we design an iterative algorithm that uses dynamic programming for each iteration. Though the iterative algorithm is not guaranteed to attain exactly optimal estimates, it more effectively captures the prior set by the shape coder. Experiments demonstrate that the proposed algorithms yield excellent segmentation results on both synthetic and red world data examples.

关键词： segmentation texture shape minimum description length (MDL) wavelets hidden Markov trees (HMT)

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Fast algorithm for binary field wavelet transform for image processing

Fast algorithm for binary field wavelet transform for image ...

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International conference on image processing (ICIP 2001)

作者： Law, NF Liew, AWC Siu, WC Hong Kong Polytech Univ Dept Elect & Informat Engn Ctr Multimedia Signal Proc Hong Kong Hong Kong Peoples R China

ISBN: (纸本)0780367251

Lifting scheme for the real field wavelet transform has provided a new insight into its practical implementation. This paper shows that a similar scheme can be developed for the binary field wavelet transform. In particular, by using the Euclidean algorithm the binary filters can be decomposed into a finite sequence of simple lifting steps over the binary field. This provides an alternative method for the implementations of the binary field wavelet transform for image processing applications. It is found that the new implementation can reduce the number of arithmetic operations involved in the transform and allow an efficient in-place implementation structure.

关键词： image processing

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