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- Method:To use multiscale wavelet transform local max for spacial filtering(especially edge detection and denoise)of image. 方法采用图像的多尺度小波变换局部模最大值进行空域滤波(主要是边缘检测及降噪)的方法。
- multiscale wavelet transform 多尺度小波分析
- Edge Focusing Based on Multiscales Wavelet Transform 小波多尺度影像边缘聚焦算法
- A multiscale image fusion algorithrn Based on wavelet transform pyramid structure is presented to fuse the infrared and visible light images. 在小波变换金字塔结构的基础上,提出了一种基于小波变换的多尺度图像融合方法,对热红外与可见光图像进行了融合处理。
- Multiscale edges of a signal can be detected by using extrema or zero-crosings of dyadic wavelet transform. 本文通过二进小波变换极值或零交叉点可获取信号的多尺度边缘，由此得到信号的绝大部分信息。
- Abstract： Multiscale edges of a signal can be detected by using extrema or zero-crosings of dyadic wavelet transform. 摘 要： 本文通过二进小波变换极值或零交叉点可获取信号的多尺度边缘，由此得到信号的绝大部分信息。
- Firstly,the wavelet transform is used to perform a multiscale decomposition each image. 首先对原始图像进行小波分解,得到低频和高频子图像。
- Multiscale boundary detection is equivalent to searching out the local ex-tremum of wavelet transform modulo of image. 多尺度边缘检测等价于寻找图像的小波变换模局部极值。
- A wavelet multiscale inversion (WMI) method using the orthogonal wavelet transform is applied to inverse two dimension seismic waveform. 多尺度反演具有对初始模型依赖性低、收敛速度快、反演结果稳定等优点,是一种很有希望的反演方法。
- The wavelet transform is a method of multiscale and multiresolution, it is used in signal analysis and image processing. 小波变换是一种多尺度、多分辨力的时频分析方法,广泛应用于信号分析和图像处理领域。
- A wavelet package denoising method based on wavelet transform modulus maxima(WTMM) multiscale edge detection is proposed. 文章提出一种将小波变换模极大值(WTMM)多尺度边缘检测与小波包去噪算法结合起来的图像去噪方法。
- Objective Apply wavelet transform to denoise medical image. 摘要目的利用小波变换进行医学图像去噪。
- Denoising analysis of OTDR data based on wavelet transform[J]. 引用该论文 王韶波;李康;孔繁敏;吴涛.
- Wavelet domain HMT models the dependencies of multiscale wavelet coefficients through the state probabilities of the wavelet coefficients, whose distribution densities can be approximated by Gaussian mixture model. 小波域HMT模型采用混合高斯模型刻画各子带系数的概率分布;并通过小波系数隐状态在多个尺度之间的Markov依赖性来刻画自然图像小波系数随尺度减小而指数衰减的特性.
- Methods of signal processing in LIA based on wavelet transform[J]. 引用该论文 杨兴林;王华岑;徐铁铮;李劲.
- Wavelet-domain HMT models the dependencies of multiscale wavelet coefficients through the state probabilities of the wavelet coefficients,whose distribution densities can be approximated by the Gaussian mixture model. 小波域隐马尔可夫树(HMT)模型采用混合高斯模型刻画各子带系数的概率分布;并通过小波系数隐状态在多个尺度之间的Markov依赖性来刻画自然图像小波系数随尺度呈指数衰减的特性.
- We use the Mallat algorithm to reconstruct the RIO of Shepp-Logan image. Because of locality and multiscale of wavelet transform, local image can be reconstructed by local data. And thus can reduce using time and exposed X-rays. 本文利用Mallat金字塔算法对Shepp Logan图进行局部重建 ,利用小波所具有的多尺度特性和良好的局部特性 ,能够仅用局部投影数据重建出感兴趣的局部区域 ,由此不仅降低了X射线的辐射剂量 ,而且缩短了成像时间。
- By using wavelet transform, the emission of HHG in different time is obtained. 利用小波变换，观察了高次谐波在不同时刻的发射情况。
- The simple image fusion method, the multiresolution image fusion techniques based on multiscale pyramid decomposition (MPD), and the image fusion method based on wavelet transform are studied. 文中研究了简单的图像融合方法、基于多尺度塔形分解的多分辨率图像融合方法和基于小波变换的图像融合方法。
- Based on the wavelet transform and its multiscale decompositions, we will construct a kind of wavelet energy accumulator, by which the energy on decomposition all different scales. 提出了多尺度小波能量积累器的概念，并给出了相应的多尺度小波能量积累算法，将信号在不同分解尺度上的小波能量进行积累。
