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Multiresolution mosaic

Multiresolution mosaic

引用

IEEE International conference on image processing

作者： Chiou-Ting Hsu Ja-Ling Wu Communication and Multimedia Laboratory Department of Computer Science and Information Engineeling National Taiwan University Taipei Taiwan

ISBN: (纸本)0780332598

Mosaic techniques have been used to combine two or more signals into a new one with an invisible seam, and with as little distortion of each signal as possible. Multiresolution representation is an effective method for analyzing the information content of signals, and it also fits a wide spectrum of visual signal processing and visual communication applications. The wavelet transform is one kind of multiresolution representations, and has found a wide variety of application in many aspects, including signal analysis, image coding, image processing, computer vision and etc. Due to its characteristic of multiresolution signal decomposition, the wavelet transform is used for the image mosaic by choosing the width of the mosaic transition zone proportional to the frequency represented in the band. Both 1-D and 2-D signal mosaics are described, and some factors which affect the mosaics are discussed.

关键词： signal resolution signal analysis signal processing Application software wavelet transforms image resolution Distortion Information analysis Visual communication wavelet analysis

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Spatio-temporal wavelet transforms for image sequence analysis

Spatio-temporal wavelet transforms for image sequence analys...

引用

European signal processing conference (EUSIPCO)

作者： J.-P. Leduc C. Labit IRISA / Centre INRIA - Rennes Campus de Beaulieu avenue du Général Leclerc F-35042 Rennes France

This paper intends to present an integrated approach of constructing new spatio-temporal wavelets for discrete signal analysis. The main illustrative field of applications considered here stands as the analysis of digital image sequences. Nevertheless, this can be readily extended to any kind of spatio-temporal signals. Continuous wavelet transforms, continuous series, discretized series and discrete transforms are considered here in an unified way. The analysis to be developed relies only on dynamic parameters like uniform translation and rotation, on kinematic parameters like velocity and speed and on structural parameters as scale and orientation. This digital processing intends to cover the detection and the focalization on motion-based regions of interest in order to perform tracking, classification, segmentation, multiscale trajectory construction and eventually a selective reconstruction of the useful content.

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

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Multiband cyclic wavelet transforms

Multiband cyclic wavelet transforms

引用

IEEE International conference on image processing

作者： S. Sarkar H.V. Poor Department of Electrical Engineering Princeton University Princeton NJ USA

Multiresolution analysis via decomposition into wavelets has been established as an important transform technique in signal processing. A wealth of results is available on this subject, the framework has been extended to treat finite length sequences of size 2/sup n/ (for positive integers n) over finite fields. The paper extends this idea further to provide a framework for dealing with data lengths p/sup n/ for any prime p. This generalization is motivated in part by the need for such transforms for building error correcting codes in the wavelet transform domain. Potential applications and computational complexity issues are discussed as well. We focus on the description of wavelet transforms in terms of perfect reconstruction filter banks.

关键词： wavelet transforms wavelet analysis Filter bank Discrete wavelet transforms Multiresolution analysis signal processing Galois fields Fourier transforms Error correction codes image reconstruction

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Bit allocation via recursive optimal pruning with applications to wavelet/VQ image compression

Bit allocation via recursive optimal pruning with applicatio...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： J.R. Goldschneider E.A. Riskin Department of Electrical Engineering University of Washington Seattle WA USA

We address the problem of bit allocation to wavelet subbands by extending the recursive optimal pruning algorithm of Kiang, Baker, Sullivan and Chiu (see IEEE Transactions on image processing, vol.1, no.4, p.162-9, 1992) to bit allocation. We apply the algorithm to tree-structured vector quantizers used to code image subbands that result from the wavelet decomposition. We compare this method to the GBFOS algorithm, that is, the generalized Breiman, Friedman, Olshen, and Stone (1984) bit allocation, and show that it produces many additional bit allocations that lie close to the rate-distortion curve.

关键词： Bit rate image coding Rate-distortion Vector quantization Time sharing computer systems Propagation losses Speech Code standards

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A multiresolution stochastic process for image compression

A multiresolution stochastic process for image compression

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： S. Moni R.L. Kashyap School of Electrical Engineering Purdue University West Lafayette IN USA

We define a data structure called a "web" together with an algorithm to choose scale-space atoms for representing an image. The corresponding wavelet coefficients (of the atoms chosen using this method) have useful properties which lead to (i) the definition of a stochastic process for representing images and (ii) an efficient image compression algorithm. The advantage of our image compression algorithm is that the computational requirement is very low. The stochastic process is useful in a theoretical sense because it gives us a framework in which to understand images and certain image compression algorithms.

关键词： image resolution Stochastic processes image coding wavelet coefficients Data structures image storage HDTV Biomedical imaging Catalogs Multimedia systems

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Arbitrarily-shaped wavelet packets for zerotree coding

Arbitrarily-shaped wavelet packets for zerotree coding

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： O. Egger T. Ebrahimi M. Kunt Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland

In order to satisfy the needs of new multimedia applications, the problem of content-based video coding has to be addressed. A new approach of object interior coding is proposed. It is based on an arbitrarily-shaped subband transform followed by a generalized embedded zerotree wavelet algorithm. It is shown that the proposed technique achieves good compression results and has additional properties such as being computationally efficient, keeping the same dimensionality in the transformed domain, being perfect reconstruction, and allowing a perfect rate control. In addition a lossless mode can be defined by using an appropriate filter bank.

关键词： wavelet packets Filter bank Decorrelation image coding Energy resolution signal resolution signal processing Laboratories wavelet transforms signal processing algorithms

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wavelets in polar coordinates

Wavelets in polar coordinates

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： O. Andric C. Johnston N. Erdol Florida Atlantic University USA Department of Mathematics USA Department of Electrical Engineering USA

The problems encountered in the development and implementation of two-dimensional orthonormal wavelet bases and their filter banks in polar coordinates are addressed. These wavelets and filter banks have possible applications in processing signals that are collected by sensors working in the polar coordinate system, such as biomedical and radar generated signals. wavelet bases are developed in the convenient and familiar surrounding of the rectangular plane, and the theory is transported to the polar plane. Corresponding filter banks are developed and the implementation of wavelet analysis in the polar plane is discussed. Examples are provided.

关键词： Filter bank wavelet analysis signal generators Computer displays Sensor systems signal processing Biosensors Magnetic resonance imaging Radar antennas image sensors

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Discrete finite variation: a new measure of smoothness for the design of wavelet basis

Discrete finite variation: a new measure of smoothness for t...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： J.E. Odegard C.S. Burrus Department of Electrical and Computer Engineering Rice University Houston TX USA

A new method for measuring and designing a smooth wavelet basis which dispenses with the need for having a large number of zero moments of the wavelet is given. The method is based on minimizing the "discrete finite variation", and is a measure of the local "roughness" of a sampled version of the scaling function giving rise to a "visually smooth" wavelet basis. A smooth wavelet basis is deemed to be important for several applications and in particular for image compression where the goal is to limit spurious artifacts due to non-smooth basis functions in the presence of quantization of the individual subbands. The definition of smoothness introduced here gives rise to new algorithms for designing smooth wavelet basis with only one vanishing moment leaving free parameters, otherwise used for setting moments to zero, for optimization.

关键词： Discrete wavelet transforms Filters Cost function Electric variables measurement image coding Algorithm design and analysis Design optimization Polynomials Design methodology Continuous wavelet transforms

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Spline-wavelets of free knots for signal processing

Spline-wavelets of free knots for signal processing

引用

International conference on signal processing Proceedings (ICSP)

作者： L.T. Guan Dept. of Sci. Comput. & Comput. Appl. Zhongshan Univ. Guangzhou China

Previous authors have discussed signal processing by many different methods. One of them, which is useful and a relatively recent development in signal processing, is the wavelet method. These authors have obtained wavelets on an infinite interval (-/spl infin/, +/spl infin/) first, and then on a bounded interval, but their wavelets were only restricted in k/spl middot/2/sup -j/ scale knots in ~0,1\. The aim of this paper is to present an approach for the study of multiresolution analysis and wavelets on a bounded interval with free knots. This wavelet can be used as different bandpass filters to different subintervals in ~0,1\ for signal processing.

关键词： Spline signal processing wavelet analysis Band pass filters signal analysis signal resolution Computer applications Partial response channels Data compression image coding

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A stabilized zero-crossing representation in the wavelet transform domain and its extension to image representation for early vision

A stabilized zero-crossing representation in the wavelet tra...

引用

IEEE Region 10 International conference TENCON

作者： S. Watanabe T. Komatsu T. Saito Department of Electrical Engineering Kanagawa University Japan

We present a new stabilized zero-crossing representation with a salient feature that the signal reconstruction problem reduces to a typical minimum-norm optimization problem, the solution of which is formulated as a linear simultaneous equation, and develop an iterative algorithm for signal reconstruction. Moreover, we extend them to the two-dimensional case. With the extended two-dimensional reconstruction algorithm we can almost perfectly reconstruct an original image from the stabilized two-dimensional zero-crossing representation, and after some dozens of iterations the algorithm provides a reconstructed image with subjectively high picture quality. Furthermore, we introduce a threshold operation based on edge intensity to reduce the amount of information in the stabilized zero-crossing representation, and experimentally demonstrate that the threshold operation works well.

关键词： wavelet domain wavelet transforms image reconstruction signal reconstruction Reconstruction algorithms image representation Convergence Information analysis Projection algorithms Linearity

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