搜索资源列表
a-trous-wavele
- 采用多孔小波a trous 实现对图像的分解与重构，可对学习小波变换人员提供参考可借鉴-A trous image decomposition and reconstruction using multi Kong Xiaobo learning wavelet transform can learn
CS
- 图像处理 压缩感知 重构算法 匹配追踪改进-Image processing compression-aware reconstruction algorithm matching pursuit to improve
TVAL3_v1.0
- rice大学Chengbo Li, Wotao Yin, Yin Zhang编写的，使用TV重构图像的matlab程序，内有使用说明，及相关文章-of rice University Chengbo Li, Wotao Yin, Yin Zhang written TV reconstructed image matlab program, with instructions for use, and related articles
Cusp_OMP
- 针对cusp信号的正交匹配算法（OMP）的压缩感知重构matlab代码-compressed sensing matlab code for cusp signal using OMP
Wavelet_IRLS
- 压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ILRS算法，对256*256的lena图处理，比较原图和IRLS算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间-Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix
Wavelet_OMP
- 压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为OMP算法，对256*256的lena图处理，比较原图和OMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 -Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix
Wavelet_SP
- 压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间-Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and
Wavelet_ROMP
- 压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ROMP算法，对256*256的lena图处理，比较原图和ROMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 -Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matr
reconstruction
- 基于小波变换的图像重构程序，相当完整的程序-Based on wavelet transform image reconstruction program, very complete program
cs
- 通过信号的系数变换，线性测量和重构，实现压缩感知，已对图像进行后续处理-Signal transform coefficients, linear measurement and Reconstruction, compressed sensing, and image post-processing
codefile
- 小波变换图像处理，Mallat算法实现二维小波变换，图像分解，图像重构，有图有历程-Wavelet transform image processing, Mallat algorithm to achieve a two-dimensional wavelet transform, image decomposition, and image reconstruction, pictures and history of
OMP
- 压缩感知重构算法，正交匹配投影算法，一维信号重建-Compressed sensing reconstruction algorithm, orthogonal matching projection algorithm, one-dimensional signal reconstruction
Wavelet_SL0
- 压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SL0算法，对256*256的lena图处理，比较原图和SL0算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 -Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix
2dwave
- 使用二维小波进行分解，再进行重构的程序。重要用于人脸特征提取。-Using two-dimensional wavelet decomposition remodeling program. Important for face feature extraction.
PoissonRecon
- 点云的泊松曲面重构方法的源代码。有论文说明。-The Poisson point cloud surface reconstruction method source code. The paper describes.
tfristft
- 令x(n)=5exp(j*0.15*n*n)+6exp(j*300n-j*0.15*n*n) ，w(n)为高斯窗函数。试用matlab软件，取不同长度的窗函数，分别求x(n)离散短时傅里叶变换，并进行信号重构。-ORDER x (n) = 5exp (j* 0.15* n* n)+6exp (j* 300n-j* 0.15* n* n), w (n) for the Gaussian window function. Trial Matlab software, take different l
testone
- 二维离散小波变换(Mallat快速算法)对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR). 数据：灰度图像lena.bmp或其它图像, 滤波器系数可以调用matlab中的wfilters函数获得, wfilters函数的使用请在matlab中help wfilters.-Two-dimensional discrete wavelet transform (Ma
SAMP
- 对图像重构处理再matlab中实现的程序-For image reconstruction processing implemented in the matlab program
ee
- 基于双目立体视觉的三维重建，关于三维重构技术的论文-Based on the three-dimensional reconstruction of the binocular stereo vision, 3D reconstruction of papers
esdf
- 基于双目视觉的图像三维重建--对图像进行三维重构的论文-Papers- the three-dimensional reconstruction of the image based on the the binocular visual images of three-dimensional reconstruction