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检索条件"任意字段=Wavelets - Applications in Signal and Image Processing X Conference"
4118 条 记 录,以下是171-180 订阅
排序:
applications of multiwavelet techniques to image denoising
Applications of multiwavelet techniques to image denoising
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IEEE International conference on image processing
作者: Bala, E Ertuzun, A Bogazici Univ Dept Elect Elect Engn Istanbul Turkey
The developments in wavelet theory have given rise to the wavelet thresholding method, for extracting a signal from noisy data [1,2]. Multiwavelets, wavelets with several scaling functions, have recently been introduc... 详细信息
来源: 评论
Three-dimensional audio localization using wavelet-domain convolution
Three-dimensional audio localization using wavelet-domain co...
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wavelets - applications in signal and image processing x conference
作者: Hubbard, PF Umland, KL Pereyra, MC Caudell, TP Univ New Mexico Dept Elect & Comp Engn Albuquerque NM 87131 USA
This paper describes a new approach for creating compelling virtual acoustic environments by synthesizing and three-dimensionally localizing sounds within the wavelet-domain. A prototype system was developed that comb... 详细信息
来源: 评论
Wavelet domain blind image separation
Wavelet domain blind image separation
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wavelets - applications in signal and image processing x conference
作者: Ichir, MM Mohammad-Djafari, A Supelec Lab Signaux & Syst F-91192 Gif Sur Yvette France
In this work, we consider the problem of blind source separation in the wavelet domain via a Bayesian estimation framework. We use the sparsity and multiresolution properties of the wavelet coefficients to model their... 详细信息
来源: 评论
A noise selection approach of image restoration
A noise selection approach of image restoration
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conference on wavelets - applications in signal and image processing Ix
作者: Malgouyres, F Univ Calif Los Angeles Dept Math Los Angeles CA 90095 USA
This paper deals with a restoration (both denoising and deblurring) method. For instance in the case of denoising, this latter is only a small modification from the usual wavelet thresholding. However, it has the sign... 详细信息
来源: 评论
Natural image modeling using complex wavelets
Natural image modeling using complex wavelets
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wavelets - applications in signal and image processing x conference
作者: Jalobeanu, A Blanc-Feraud, L Zerubia, J NASA Ames Res Ctr RIACS USRA Moffett Field CA USA
We propose to model satellite and aerial images using a probabilistic approach. We show how the properties of these images, such as scale invariance, rotational invariance and spatial adaptivity lead to a new general ... 详细信息
来源: 评论
On the high-bitrate approximation
On the high-bitrate approximation
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wavelets - applications in signal and image processing x conference
作者: Bach, V Grottke, S Jung, K Sablatnig, J Seiler, R Wilke, M TU Berlin D-10623 Berlin Germany
We are reviewing scalar quantizers with deadzone and overload in the high-bitrate approximation, give sharp bounds on the quality of this approximation and present results on the optimal quantizer in this setting. Som... 详细信息
来源: 评论
Very low bit rate image coding using redundant dictionaries
Very low bit rate image coding using redundant dictionaries
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wavelets - applications in signal and image processing x conference
作者: Peotta, L Granai, L Vandergheynst, P Swiss Fed Inst Technol Signal Proc Inst CH-1015 Lausanne Switzerland
Very low bit rate image coding is an important problem regarding applications such as storage on low memory devices or streaming data on the internet. The state of the art in image compression is to use 2-D wavelets. ... 详细信息
来源: 评论
Adapting overcomplete wavelet models to natural images
Adapting overcomplete wavelet models to natural images
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wavelets - applications in signal and image processing x conference
作者: Sallee, P Olshausen, BA Univ Calif Davis Dept Comp Sci Davis CA 95616 USA
Overcomplete wavelet representations have become increasingly popular for their ability to provide highly sparse and robust descriptions of natural signals. We describe a method for incorporating an overcomplete wavel... 详细信息
来源: 评论
Optimal tree approximation with wavelets
Optimal tree approximation with wavelets
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conference on Wavelet applications in signal and image processing VII
作者: Baraniuk, R Rice Univ Dept Elect & Comp Engn Houston TX 77005 USA
The more a;priori knowledge we encode into a signal processing algorithm, the better performance we can expect. In this paper, we overview several approaches to capturing the structure of singularities ledges, ridges,... 详细信息
来源: 评论
Sparse representation in speech signal processing
Sparse representation in speech signal processing
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wavelets - applications in signal and image processing x conference
作者: Lee, TW Jang, GJ Kwon, OW Univ Calif San Diego Inst Neural Computat La Jolla CA 92093 USA
We review the sparse representation principle for processing speech signals. A transformation for encoding the speech signals is learned such that the resulting coefficients are as independent as possible. We use inde... 详细信息
来源: 评论