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1)  Nonsubsampled Contourlet Transform
非采样Contourlet变换
1.
In order to overcome the drawbacks of pyramid decompose of nonsubsampled Contourlet transform,a novel image fusion method is proposed.
为克服非采样Contourlet变换中金字塔分解的不足,首先在提升小波变换的基础上,通过取消其奇偶分裂环节得到具有平移不变性的非采样提升小波变换,然后用此变换来取代非采样Contourlet变换中的金字塔分解,得到新的非采样提升小波-Contourlet变换。
2.
For the purpose of improving high-resolution remote sensing images registration precision,nonsubsampled contourlet transform is applied to high-resolution remote sensing images registration.
为了提高高分辨率遥感图像配准的精确度,将非采样Contourlet变换应用于高分辨率遥感图像配准算法中。
3.
This paper proposes an image denoising algorithm based on nonsubsampled contourlet transform(NSCT) and Wiener filtering.
提出了一种基于非采样Contourlet变换与Wiener滤波相结合的图像去噪算法。
2)  Nonsubsampled contourlet transform(NSCT)
非采样Contourlet变换
1.
Focusing on the fusion problem of infrared and visible light images with the same scene,a novel multi-sensor image fusion algorithm based on the nonsubsampled contourlet transform(NSCT)was proposed.
针对同一场景红外图像与可见光图像的融合问题,提出了一种基于非采样Contourlet变换(Nonsubsampled Contourlet Transform,NSCT)图像融合算法。
2.
Aiming at the geometric attack problem of the digital watermark, a novel algorithm is proposed based on the NonsubSampled Contourlet Transform(NSCT).
针对现有水印算法难以有效对抗几何攻击的问题,提出一种基于非采样Contourlet变换(NSCT)的水印新算法。
3)  nonsubsampled contourlet transform
非降采样Contourlet变换
1.
A new image de-noising method is proposed based on nonsubsampled contourlet transform(NSCT) with half-soft threshold.
提出一种基于非降采样Contourlet变换(NSCT)和半软阈值的图像去噪方法。
4)  nonsubsampled contourlet transform(NSCT)
非下采样contourlet变换
1.
An image fusion method based on nonsubsampled contourlet transform(NSCT)is presented,which uses the nonsubsampled pyramids(NSP)and the nonsubsampled directional filter banks(NSDFBs)to decompose the source images in a multi-scale and multi-direction way.
摘要:提出了一种基于非下采样contourlet变换(NSCT)的多分辨率图像融合方法,通过非下采样金字塔(NSP)和非下采样方向滤波器组(NSDFB)实现对图像的多尺度多方向分解。
2.
A fusion algorithm based on Nonsubsampled Contourlet Transform(NSCT)and Pulse Coupled Neural Network(PCNN)was proposed.
提出一种基于非下采样contourlet变换(NSCT)与脉冲耦合神经网络(PCNN)的图像融合算法。
3.
This method was to obtain the value of a threshold automatically using the max signal-to-noise ratio and made different directions multiscale products of high frequency coefficient in order to detect edge of SAR images in NonSubsampled Contourlet Transform(NSCT)domain.
该方法利用信噪比最大自动选取阈值,在非下采样Contourlet变换(NSCT)域中,进行不同方向高频系数多尺度乘积以达到SAR图像检测边缘。
5)  Nonsubsampled contourlet transform
非下采样Contourlet变换
1.
SAR image despeckling using statistical priors in nonsubsampled contourlet transform domain;
统计先验指导的非下采样Contourlet变换域SAR图像降斑
2.
Image diffusion denoising based on spectral graph theory and nonsubsampled Contourlet transform
基于非下采样Contourlet变换和谱图理论的扩散去噪
3.
Medical image retrieval based on nonsubsampled Contourlet transform and Zernike moments
基于非下采样Contourlet变换和Zernike矩的医学图像检索
6)  Nonsubsampled Contourlet transform
非子采样Contourlet变换
1.
This paper proposed a multi-SAR image fusion method based on the nonsubsampled Contourlet transform to fuse multi-band SAR images effectively.
为了对多波段SAR图像进行有效的融合,提出了一种基于非子采样Contourlet变换的多波段SAR图像伪彩色融合方法。
补充资料:Radon变换和逆Radon变换


Radon变换和逆Radon变换


X线物理学术语。CT重建图像成像的主要理论依据之一。1917年澳大利亚数学家Radon首先论证了通过物体某一平面的投影重建物体该平面两维空间分布的公式。他的公式要求获得沿该平面所有可能的直线的全部投影(无限集合)。所获得的投影集称为Radon变换。由Radon变换进行重建图像的操作则称为逆Radon变换。Radon变换和逆Radon变换对CT成像的意义在于,它从数学原理上证实了通过物体某一断层层面“沿直线衰减分布的投影”重建该层面单位体积,即体素的线性衰减系数两维空间分布的可能性。
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