搜索资源列表
压缩感知重建算法OMP 及K-SVD
- 文件中包换了稀疏矩阵的重建及在图像去噪方面的应用
denoise
- 一个基于压缩感知（压缩传感）的噪声降低的外文资料，把压缩感知运用到去噪上，是近期研究的热点-A perception-based compression (compressed sensing) and noise reduction in foreign language information, the compressed sensing applied to the de-noising on the recent study of the hot
Image_Denoising_Global_Denoising
- 基于压缩感知的的图像去噪，用于不同维数，-image denoising based on cs
Compressed-sensing-denoising-code
- 压缩感知去噪代码，一种用于去噪的CS的有效代码，简单适用-Compressed sensing denoising code, one for denoising CS valid code, a simple application
DeNoising
- 压缩感知重构算法去噪方法，以及一系列改进方法-Compression-aware reconstruction algorithm denoising method, as well as a series of improved methods
Main_functions
- 压缩感知中有关图像处理的去噪去模糊的程序实现以及两个实用例子-Compression perception about the denoising image processing deblurring program to achieve two practical examples
Adaboost
- 压缩感知人脸识别 图形图像，识别，去噪，恢复原图等功能，adaboost代码-Graphic images compressed sensing face recognition, identification, denoising, restoring original features such as, adaboost code
quzao
- 压缩感知图像去噪，对原始图像加噪之后进行压缩感知图像重构，比较重构之后与原始图像。-After compressed sensing image denoising, adding noise to the original image after compression sensing image reconstruction, reconstruction and compare the original image.
CS_KM
- 现有的贪婪迭代类压缩感知重构算法均基于最小二乘对信号进行波形估计，未考虑到可能将量测噪声引入信号估计的情况．针对以上不足，提出了一种基于线性Kalman滤波的压缩感知弱匹配去噪重构算法-Existing greedy iterative reconstruction algorithms class compressed sensing the signal waveform based on least squares estimation does not take into account
BPpdco
- 压缩感知库的BP函数，可以相互学习,有去噪部分的源码，压缩感知基追踪算法的库函数可以直接用于基追踪的图像重构-BP compressed sensing library function, can learn each other, we have a de-noising part of the source code, compressed sensing based tracking algorithm library functions can be directly used for
yasuoganzhiDeNoising
- 压缩感知图像处理，图像去噪与维纳滤波，小波收缩-Compressed sensing image processing, image denoising and wiener filtering, wavelet shrinkage
Image_Denoising_Global_Denoising
- 一种用于压缩感知图像去噪的matlab代码，使用一个预先决定的字典-compress sensing image denoising
Sparse-Representation-
- 稀疏表示的毕业参考论文，在图像去噪、图像修复、人脸识别及压缩感知等图像处理领域中的应用进行了总结.-Sparse representation of graduation reference papers, summarized in the image denoising, image restoration, face recognition and compressed sensing and other image processing applications
matlab_program
- 可以进行压缩感知的图形处理，是一部分进行压缩感知处理的图形实例和去噪处理，是现在的一部公开课的编程部分资料，可以实现简单的压缩感知图形采样的应用(Graphics processing with compressed sensing can be used as a Graphics instance and denoising part of compressed sensing processing. Now it is a programming part of an open class
Sparse image and signal processing
- 这本书在稀疏的多尺度图像和信号处理提出了艺术状态，包括线性多尺度变换，如小波，脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题，如去噪，反问题正规化，稀疏信号分解，盲源分离，压缩感知。 这本书的理论和实践研究相结合的领域，如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换，表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。 MATLAB和IDL代码伴随这些方法和应用程序重现。 实验并说明
BD3D-AMP (DAMP)作业
- 图像重构 压缩感知 重构后对图像使用BM3d 进行去噪(compress sensing DAMP)