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This paper presents two new 3D curvelet transforms which are built as extensions of the 2D first
generation curvelet transform. The first one, called the RidCurvelet, is especially well designed
for representing 2D surfaces in a 3D space while th
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Feature extraction is a key issue in contentbased
image retrieval (CBIR). In the past, a number of
texture features have been proposed in literature,
including statistic methods and spectral methods.
However, most of them are not able to accu
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基于curvelet的Stein无偏风险估计图象去噪（清华学报自然科学版已接受稿件）-Curvelet-based Stein unbiased risk estimation for image denoising (Tsinghua University Natural Science Edition has accepted manuscr ipt)
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brief detail about Curvelet Denoising image
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Recent journal AEU - International Journal of Electronics and Communications. In this paper, a curvelet based nonlocal means denoising method is proposed. -Recent journal AEU - International Journal of Electronics and Communications. In this paper,
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