资源列表
nilvbo
- 本文包括以下内容：逆滤波，最小二乘方滤波，顺序滤波比较等matlab代码。-This article includes the following: inverse filtering, least squares filtering, comparison of the order of filtering matlab code.
Slantlet
- 这是一个Slantlet的matlab实现，觉得比较有用，推荐一下-This is a Slantlet the matlab implementation, feel more useful, recommend what
matlab_multiwavelet_toolbox.tar
- 这是一个Matlab实现的图像Multiwavelet程序，用于计算图像的Framelet系数。-This is a Matlab implementation of image Multiwavelet procedures used to calculate the image Framelet factor.
waveletsingularitydetectionsigna
- 采用2进小波对1维信号的奇异点进行检测。小波模极大值位置就是奇异点的位置-A 2 into 1-dimensional wavelet singularity detection signal. Wavelet Modulus Maxima location is the location of singular points
fdct_wrapping_matlab
- 采用中心旋转法来进行曲波变换，带有几个demos。方便的进行curvelet变换-Center of rotation method used to carry out curvelet transform, with a few demos. Convenient for curvelet transform
waveletandCanny
- 本文提出了一种将小波与canny算子结合，对图像进行边缘检测的方法。-This paper presents a wavelet combined with canny operator, the image edge detection method.
HaarDecomposeAndCompose
- 小波变换现在是个热门，本文提供Haar小波变换的分解与重构代码，是自己编的，提供了对应所用的图片，可以用，有详细注释！-Wavelet transform is now popular, the paper provides Haar wavelet decomposition and reconstruction code, is its own series, used to provide the corresponding image, you can use, with detaile
bayesthresholding2
- 本文实现基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法，相比较其它的小波去噪算法而言，效果非常好-This realization based on Bayesian (BAYES) Threshold the wavelet (WAVELET) image denoising algorithm, compared with other wavelet denoising algorithm, the effect was very good
SAR
- 在实数域 ,对称、 正交的紧支集非平凡单小波基不存在 ,而多小波把紧支集，对称性、 正交性完美地结合在一起 ,使小波理论从标量扩展到矢量范畴。利用上述特点将多小波变换应用于 SAR 图像压缩。-In the real fields, symmetric, orthogonal set of nontrivial compactly supported wavelet basis does not exist alone, but more than the compact support wav
jj2000-4.1.tar
- jj2000 is a very good program for wavelet
Jsegg
- 给予小波变换用JSEG算法实现图像的分割并提取视觉图像-For wavelet transform algorithm with JSEG image segmentation and extraction of visual images
image_denoise
- 小波图像去噪源码，很不错，内有程序的运行结果-Image denoising source, very good, there are programs running results