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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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wavelet based analysis of rotational motion in digital image sequences

Wavelet based analysis of rotational motion in digital image...

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1998 23rd IEEE International conference on Acoustics, Speech and signal processing, ICASSP 1998

作者： Kong, Mingqi Leduc, Jean-Pierre Ghosh, Bajoy K. Corbett, Jon Wickerhauser, Vzctor M. Washington University in Saint Louis Department of Mathematics One Brookings Drive P.O. Box 1146 Saint Louis MO 63130 United States Washington University in Saint Louis Department of Systems Science and Mathematics One Brookings Drive P.O. Box 1146 Saint Louis MO 63130 United States

ISBN: (纸本)0780344286

This paper addresses the problem of estimating, analyzing and tracking objects moving with spatio-temporal rotational motion (spin or orbit). It is assumed that the digital signals of interest are acquired from a camera and structured as digital image sequences. The trajectories in the signal are two-dimensional spatial projections in time of motion taking place in a three-dimensional space. The purpose of this work is to focus on the rotational motion, i.e. estimate the angular velocity. In natural scenes, rotational motion usually composes with translational or accelerated motion on a trajectory. This paper shows that trajectory parameters and rotational motion can be efficiently estimated and tracked either simultaneously or separately. The final goal of this work is to provide selective reconstructions of moving objects of interest. This paper constructs new continuous wavelet transforms that can be tuned to both translational and rotational motion. The parameters of analysis that are taken into account in these rotational wavelet transforms are space and time position, velocity, spatial scale, angular orientation and angular velocity. The continuous wavelet functions are finally discretized for signal processing. The link between rotational motion, symmetry and critical sampling is also presented. applications are presented with tracking and estimation. © 1998 IEEE.

关键词： Trajectories

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Effect of matching watermark and compression transforms in compressed color images

Effect of matching watermark and compression transforms in c...

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Proceedings of the 1998 International conference on image processing, ICIP. Part 2 (of 3)

作者： Wolfgang, Raymond B. Podilchuk, Christine I. Delp, Edward J. Purdue Univ West Lafayette United States

The growth of networked multimedia systems has complicated copyright enforcement relative to digital images. One way to protect the copyright of digital images is to add an invisible structure to the image (known as a digital watermark) to identify the owner. In particular, it is important for Internet and image database applications that as much of the watermark as possible remain in the image after compression. image adaptive watermarks are particularly resistant to removal by signal processing attacks such as filtering or compression. Common image adaptive watermarks operate in the transform domain (DCT or wavelet);the same domains are also used for popular image compression techniques (JPEG, EZW). This paper investigates whether matching the watermarking domain to the compression transform domain will make the watermark more robust to compression.

关键词： Color image processing

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Lossless and nearly-lossless compression of multispectral SPOT images

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conference on Nonlinear image processing IX

作者： Mozelle, G Zaharia, T Preteux, F Cabot, F Inst Natl Telecommun Dept Signal & Image F-91011 Evry France

ISBN: (纸本)0819427446

In this paper, we address the problem of lossless and nearly-lossless multispectral compression of remote-sensing data acquired using SPOT satellites. Lossless compression algorithms classically have two stages: Transformation of the available data, and coding. The purpose of the first stage is to express the data as uncorrelated data in an optimal way. In the second stage, coding is performed by means of an arithmetic coder. In this paper, we discuss two well-known approaches for spatial as well as multispectral compression of SPOT images: 1) The efficiency of several predictive techniques (MAP, CALIC, 3D predictors), are compared, and the advantages of 2D versus 3D error feedback and context modeling are examinated;2) The use of wavelet transforms for lossless multispectral compression are discussed. Then, applications of the above mentionned methods for quincunx sampling are evaluated. Lastly, some results, on how predictive and wavelet techniques behave when nearly-lossless compression is needed, are given.

关键词： lossless and nearly-lossless multispectral image compression 2D and 3D predictive techniques, JPEG-LS context modeling arithmetic coding wavelet transforms

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A wavelet CFAR detector for mass detection in mammography 5

A wavelet CFAR detector for mass detection in mammography

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SPIE conference on wavelet applications V

作者： Chen, D Harris, JG Laine, AF Huda, W Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA

ISBN: (纸本)081942840X

We introduce a continuous scare wavelet detector for identifying masses (possible breast cancers) in mammograms. Continuous-scale wavelet algorithms have been discussed in the past, however this is the first reported algorithm that uses a scaled version of the same mother wavelet at each scare of analysis. This single mother wavelet property leads to a simpler implementation and a more direct application of detection theory to recognition problems than traditional multiscale analysis. In addition, we show that a continuous-scale search is necessary for computer aided diagnosis of mammography since traditional solutions using dyadic scales (powers of two) either fail to detect some masses or signal too many false alarms. Our novel wavelet detector combines a wavelet formulation with the classical theory of constant false alarm rates (C-FAR) detectors. Finally, we show that our algorithm is able to detect masses in actual mammograms that could not be seen using conventional windowing and leveling of other traditional methods of contrast enhancement.

关键词： wavelet analysis image processing digital mammography multiscale representations

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Application of principal wavelet component in pattern classification 5

Application of principal wavelet component in pattern classi...

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SPIE conference on wavelet applications V

作者： Watanapongse, P Szu, HH Kasetsart Univ Dept Comp Engn BKK-10903 Bangkok Thailand

ISBN: (纸本)081942840X

The principle of Perception Redundancy Reduction (PRR) states that by optimally balancing between the information reduction of the input data and sufficient redundancy, classification performance should improve due to smaller search space from the reduced dimensions and noise-invariant from retained redundancy. For dimensionality reduction using global information, Principal Component Analysis (PCA) is a well suited method especially for signal processing task. However, for pattern classification purpose and for image classification in particular, operating on raw input data sometimes limits the benefit of the PCA. Following the Expansion-Reduction model of data-processing, we propose the use of Multiple Resolution Analysis (MRA) through continuous wavelet Transform (WT) to rearrange input data into different combinations according to wavelet kernel criteria. Quantization further provides intrinsic de-noising result plus sparseness in the transform space which preconditions the orthogonality. PCA is then performed on each level of the data resolution, generating mutually supportive classification discriminants. All together, this multiple resolution Principal wavelet Component (PWC) method provides two significant advantages over traditional PCA: i) Providing integrated de-noising and re-distribution of information content, thereby establishes controlled and mathematically sound downsampling scheme, which alleviates the curse of dimensionality and, at the same time, attenuates noises, ii) Establishing a multiple resolution decision process, whereas each resolution level provides supplemental principal wavelet components, being at least quasi-orthogonal by nature, to support classification with maximum tolerance.

关键词： principal wavelet component principal component analysis wavelet transform pattern classification eigenimage

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Proceedings of the 1997 31st Asilomar conference on signals, Systems & Computers. Part 1 (of 2)

Proceedings of the 1997 31st Asilomar Conference on Signals,...

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Proceedings of the 1997 31st Asilomar conference on signals, Systems & Computers. Part 1 (of 2)

The proceedings contains 179 papers from the 1997 31st ASILOMAR conference. Topics discussed include: adaptive nonlinear filters;resource allocation in wireless networks;speech and audio coding;communications over fading channels;adaptive and nonlinear methods in wavelet-based processing;performance evaluation for nonlinear and adaptive systems;mobile communications;advanced techniques for wireless communications;compression and signal processing applications;radar and sonars;biometric identification;image/video compression and transmission, and protocol issues for the Internet;field programmable gate arrays (FPGA) and applications;non-Gaussian signal processing;and network access technologies.

关键词： signal theory

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Multiresolutional encoding and decoding in embedded image and video coders

Multiresolutional encoding and decoding in embedded image an...

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1998 23rd IEEE International conference on Acoustics, Speech and signal processing, ICASSP 1998

作者： Xiong, Zixiang Kim, Beong-Jo Pearlman, William A. Department of Electrical Engineering University of Hawaii Honolulu HI 96822 United States Center for Image Processing Research Rensselaer Polytechnic Institute Troy NY 12180 United States

ISBN: (纸本)0780344286

We address multiresolutional encoding and decoding within the embedded zerotree wavelet (EZW) framework for both images and video. By varying a resolution parameter, one can obtain decoded images at different resolutions from one single encoded bitstream, which is already rate scalable for EZW coders. Similarly one can decode video sequences at different rates and different spatial and temporal resolutions from one bitstream. Furthermore, a layered bitstream can be generated with multiresolutional encoding, from which the higher resolution layers can be used to increase the spatial/temporal resolution of the images/video obtained from the low resolution layer. In other words, we have achieved full scalability in rate and partial scalability in space and time. This added spatial/temporal scalability is significant for emerging multimedia applications such as fast decoding, image/video database browsing, telemedicine, multipoint video conferencing, and distance learning. © 1998 IEEE.

关键词： Video conferencing

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On the parallel computation of image compression transformations

On the parallel computation of image compression transformat...

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conference on Mathematics of Data/image Coding, Compression, and Encryption

作者： Caimi, FM Schmalz, MS Ritter, GX Harbor Branch Oceanog Inst Inc Dept Elect & Software Engn Ft Pierce FL 34946 USA

ISBN: (纸本)0819429112

The emergence of fast, embeddable parallel processors such as SIMD meshes and networked multiprocessors has motivated increased parallel algorithm development for image and signal processing (ISP) and automated target recognition (ATR). Among such applications are real-time video compression for Internet communication, videotelephony, and videoteleconferencing. In general, image or signal compression transforms tend to be attractive candidates for parallel implementation. For example, due to a rectangular, non-overlapping partition structure, block-oriented transforms such as JPEG can be processed in pipeline fashion. In contrast, implementational challenges accrue as a result of between-brock data and control dependencies encountered in various pyramid-structured or hierarchical compression transforms such as wavelet-based coding. This paper summarizes ongoing research in the mapping of image compression transforms to SIMD-parallel computers. Three classes of algorithms are considered: (I) streaming, (2) block-oriented, and (3) hierarchically structured. It is shown that Classes 1 and 2 are suitable for SIMD computation, particularly where mesh segments can be connected to form a pipeline. Computation is facilitated by modifying a SIMD mesh to form a brute-force synchronous MIMD processor, which is called a multi-SIMD or MSIMD architecture. Several designs for pipelined compression transform implementation on an MSIMD mesh are analyzed in terms of critical computational complexity and error. Analysis also emphasizes theory, software, and parallelism required to support resolution of data and control dependencies encountered in ISP/ATR practice.

关键词： image compression parallel computation SIMD mesh

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The dual-tree complex wavelet transform: A new efficient tool for image restoration and enhancement

The dual-tree complex wavelet transform: A new efficient too...

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European signal processing conference (EUSIPCO)

作者： Nick Kingsbury University of Cambridge Cambridge Cambridgeshire GB

A new implementation of the Discrete wavelet Transform is presented for applications such as image restoration and enhancement. It employs a dual tree of wavelet filters to obtain the real and imaginary parts of the complex wavelet coefficients. This introduces limited redundancy (4 : 1 for 2-dimensional signals) and allows the transform to provide approximate shift invariance and directionally selective filters (properties lacking in the traditional wavelet transform) while preserving the usual properties of perfect reconstruction and computational efficiency. We show how the dual-tree complex wavelet transform can provide a good basis for multi-resolution image denoising and de-blurring.

关键词： Discrete wavelet transforms Continuous wavelet transforms image reconstruction wavelet analysis image restoration

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Discrete-time linear-phase nearly orthogonal wavelet banks

Discrete-time linear-phase nearly orthogonal wavelet banks

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European signal processing conference (EUSIPCO)

作者： Tapio Saramäki Karen Egiazarian Tampereen yliopisto - Hervannan kampus Tampere Pirkanmaa FI

A family of discrete-time linear-phase nearly orthogonal wavelet banks is introduced. These wavelet banks are intermediate cases between orthogonal wavelet banks having nonlinear-phase impulse responses and biorthogonal banks having linear-phase impulse responses. For these banks, the wavelet and scaling functions are made very regular and the wavelet function has several vanishing moments. Strightly speaking, the proposed filter banks are not real wavelet banks in the sense that there are negligible aliased terms and a very small reconstruction error for the unaliased component. Several examples are included showing the usefulness of the proposed banks in signal processing applications.

关键词： wavelet transforms Noise measurement image reconstruction image coding Deconvolution Doppler effect

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