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Gamma
- Calibration(Ca200Sample_Cal.exe) provides(GAMMA测试调整工具，CA-210所带的样本程序) Setting of coefficients of Matrix Calibration / White Calibration / Standard Color. Read and write of CA calibration files. Assist user calibration with KONICA MINOLT
cs
- 利用压缩感知对图像进行处理 先用小波变换生成矩阵，再利用正交匹配追踪算法，在对图像进行稀疏处理后进行正交匹配追踪 -Orthogonal matching pursuit algorithm for image processing First generated using wavelet transform matrix orthogonal matching pursuit, sparse processing image
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
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
cs-code
- 压缩感知的代码，里面有好多测量矩阵可以挑选，挺好挺全的代码-Compressed sensing code, there are a lot of measurement matrix can pick, very good full code
image-fusion-based-on-cs-measurement
- 基于CS测量矩阵优化的图像融合，测量矩阵是压缩感知理论的三大核心部分之一，它直接影响着压缩感知理论在图像融合领域的应用-Image Fusion CS measurement matrix optimization, measurement matrix is compressed sensing theory of one of the three core parts, which directly affects the compressive sensing
cs
- 该文包含了压缩感知图像重构算法，有omp,cosamp,sp,可以选择观测矩阵高斯随机矩阵，稀疏随机矩阵，部分哈达码矩阵。(This paper includes compressed sensing image reconstruction algorithm. It has OMP, CoSaMP and sp. It can choose observation matrix Gauss random matrix, sparse random matrix and partial Had