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ridgelet相关的网络例句

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与 ridgelet 相关的网络例句 [注:此内容来源于网络,仅供参考]

Based on a localization principle and subband decomposition, monoscale ridgelet and curvelet were proposed, both of which were derived from ridgelet transform and can efficiently deal with smooth images with smooth edges including straight and curve singularity. They, hence, are of better application potention. sparse representation;optimal basis;ridgelet;curvelet;image denoising;non-parametric estimation

单尺度脊波和Curvelet变换由脊波变换发展而来,分别利用了函数局部化和频带剖分的思想,将脊波理论发展到了一个更高的阶段,这两种变换都能"近似最优"的表示直线和曲线奇异,因而具有更好的应用前景。

In this paper, a new image de-noising method is proposed by using the threshold method based on nonparametric adaptive estimation which is presented by Birge-Massart in Ridgelet domain.

该文在有限Ridgelet域中,结合Birge-Massart等提出的非参数自适应估计理论,提出一种新的二维图像去噪方法。

One kind of Modified Orthonormal Finite Ridgelet Transform was brought forward.

提出了一种改进型正交有限脊波分析的图像去噪算法。

Because finite ridgelet transform brings"wrap-around"effect, wiener filter is used for reducing its influence in the paper and a better result is gotten.But it is one of author's next work how more availably to reduce the"wrap-around"effect.

由于有限脊波变换存在"折叠"效应这一明显缺陷,本文采取了维纳滤波的办法取得了一定的效果,但是如何更加有效地消除它的影响是笔者下一步要做的工作之一。

Six new theories in Multi-scale Geometric Analysis are introduced in this paper from theory and application, which are Beamlet transform, Wedgelet transform, Ridgelet transform, Curvelet transform, Contourlet transform and Bandelet transform.

本文从理论和应用两个方面分别介绍了多尺度几何分析理论中的Beamlet transform、Wedgelet transform、Ridgelet transform、Curvelet transform、Contourlet transform和Bandelet transform。

Then the applications of ridgelet transform and curvelet transform in image processing are discussed.

然后,分析了Ridgelet 变换和Curvelet 变换在图像处理中的应用。

Ridgelet transform is introduced in the fifth chapter. It includes principle, implement method and application of this transform.

第五章单独对Ridgelet变换进行了介绍,包括该变换的原理、实现方法和应用。

This paper first introduces two basic algorithms of spare signal expansion, ridgelet transform and curvelet transform, and gives their implementation.

本文首先在系统研究稀疏信号表示理论的基础上,实现了其中的Ridgelet和Curvelet 两种基本变换算法。

Ridgelet transform is a new multi-resolution representation of signal. It is especially suitable for describing the signals with linear singularities.

Ridgelet变换是信号的一种新的多尺度表示方法,它特别适合于具有线奇异性的二维信号的描述。

Experiment results show that Ridgelet transform is more efective than the wavelet transform in seismic signal denoising.

数值实验结果表明,Ridgelet变换在地震信号去噪方面优于小波变换。

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