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搜索结果: 1-15 共查到Curvelet相关记录49条 . 查询时间(0.109 秒)
由于采集环境及仪器性能的限制,采集到的地震勘探数据经常是不规则和不完整的,进而影响到地震数据后续处理及反演,因此在对地震数据进行下一步分析处理前有必要先重建出完整的地震数据,提出了一种基于改进的Curvelet域的地震数据压缩重建算法。首先在压缩感知理论的框架下,利用Curvelet的稀疏特性,建立缺失地震数据重建模型;然后在CRSI(Curvelet Recovery by Sparsity-P...
针对小波难以表达煤岩图像的边缘曲线特征,影响识别精度的问题,提出一种基于曲波变换的方法,对煤岩图像边缘进行稀疏表示。该方法通过曲波变换对煤岩图像进行曲波分解,得到各尺度层曲波系数,保留图像变换后的Coarse层低频系数,基于压缩感知理论,利用随机高斯矩阵对高频系数进行测量,实现高维系数降维,Coarse层低频系数与降维后的高频系数通过级联构成煤岩图像特征向量,最后结合支持向量机对煤岩图像进行分类识...
The images usually bring different kinds of noises in process of receiving, coding and transmission. The curvelet transform is one kind of new multi-scale transform after 1999 that is based on wavelet...
In this paper, we consider the problem of realizing this transform for digital data. We describe a strategy for computing a digital curvelet transform, we describe a software environment, Curvelet25...
We discuss a Continuous Curvelet Transform (CCT), a transform f → Γf(a, b, θ) of functions f(x1, x2) on R2, into a transform domain with continuous scale a > 0, location b ∈ R2, and orientation θ ∈...
We develop a unifying perspective on several decompositions exhibiting directional parabolic scaling. In each decomposition, the individual atoms are highly anisotropic at fine scales, with e&...
We consider a model problem of recovering a function f(x1; x2) from noisy Radon data. The function f to be recovered is assumed smooth apart from a discontinuity along a C2 curve { i.e. an edge. We ...
In this paper, we present the first 3D discrete curvelet transform. This transform is an extension to the 2D transform described in Cand`es et al..1 The resulting curvelet frame preserves the importan...
This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform in two and three dimensions. The first digital transformation is base...
This paper introduces the synchrosqueezed curvelet transform as an optimal tool for two-dimensional mode decomposition of wavefronts or banded wave-like components. The synchrosqueezed curvelet transf...
We consider a model problem of recovering a function f(x1, x2) from noisy Radon data. The function f to be recovered is assumed smooth apart from a discontinuity along a C2 curve – i.e. an edge. We us...
We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform [3] and the curvelet transform [7, 6]. Our implementations offer exact reconstruction...
We present in this paper a new method for contrast enhancement based on the curvelet transform. The curvelet transform represents edges better than wavelets, and is therefore well-suited for multiscal...
We outline digital implementations of two newly developed multiscale representation systems, namely, the ridgelet and curvelet transforms. We apply these digital transforms to the problem of restoring...
We develop a unifying perspective on several decompositions exhibiting directional parabolic scaling. In each decomposition, the individual atoms are highly anisotropic at fine scales, with effective ...

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