搜索资源列表
GSR-for-Inpainting
- 基于GSR的图像修复，采用团体稀疏表示，奇异值分解svd-GSR for Inpainting
MFTV
- 图像超分辨率程序，基于稀疏表示和正则化方法，程序带有注释，提供相关论文. 可以直接运行. -Matlab code about super-resolution, based on sparse representation and regularization. The codes include annotation. Related paper also provided
paper1
- 基于Gabor特征和字典学习的高斯混合稀疏表示图像识别-Image recognition based on Gabor features and dictionary learning of Gauss hybrid sparse representation
CSR_denoise
- 基于稀疏表示和非局部相似的图像去噪，来自于西安电子科技大学董伟生教授。-Image denoising based on sparse representation and nonlocal similarity
pok-kcd-src
- 用于脸部识别时，使用基于像素和区域的图像特征核的稀疏表示的识别算法。-When used in face recognition using image recognition algorithm based on feature pixel and regional nuclear sparse representation.
GSR-for-Inpainting
- 基于组稀疏表示的图像填补算法，论文作者源代码-Image inpainting algorithm based on group sparse representation, the authors source code
CVPR09-ScSPM
- 基于稀疏表示的图像超分辨算法，论文作者源代码-Image sparse representation based super-resolution algorithm, source code authors
zidianbijiao
- 利用稀疏表示进行图像去噪时，需要生成两种学习字典，该源码比较了生成的两种字典的优劣-Denoising sparse representation, it is necessary to generate two learning dictionary, which compares the generated source code of the merits of two dictionary
dctdct
- 离散余弦变换，在图像处理方面稀疏表示的时候回用到这个程序，很有用。-It is about picture process.
S_R
- 图像的稀疏表示及字典训练代码OMP和KSVD-Sparse representation of images and dictionary training code OMP and KSVD
SPARSE-SAR
- SAR图像的稀疏表示的重要示例，有样本的SAR图像可以调用-The representation of sar images.Including the datnadard images.
1221sparsematrixshowaimage
- 构造稀疏矩阵，并将稀疏矩阵用图像形式表示出来-sparse matrix show as image
SR
- 详细描述了基于稀疏表示的图像超分辨率重建，-Detailed describes the image super-resolution reconstruction based on sparse representation
waveltsparse1
- 图像的稀疏表示，用小波系数经过的构造的矩阵稀疏化后，用少数的系数表示图像。-Image sparse representation, constructed after the matrix of wavelet coefficients after thinning, with a small number of coefficients represent the image.
Robust-dictionary-learning
- 使用基于稀疏表示和字典学习的图像去噪研究方法，比一般的帧间差分算法等要高效。-Sparse representation and dictionary-based learning denoising methods, than the average fr a me difference algorithm to be efficient.
GPSR_5.0
- 关于稀疏表示的遥感图像融合——matlab代码-sparse representation
SRR-based-on-spare-coding
- 基于稀疏表示的超分辨率图像重建硕士论文，一共六篇，比较全面的介绍了基于稀疏表示的超分辨重建的方法以及详细的实现步骤，是比较好的入门资料-the master s thesis of Super-resolution image reconstruction based on sparse coding , a total of six, a more comprehensive descr iption of the super-res
xishubiaoshi
- 用于求解基于稀疏表示原理的含有随机噪声的图像。-For solving sparse representation of images based on the principle of containing random noise.
train_coupled_dict
- 用于对所获取的图像块做联合字典的稀疏表示训练-For the acquired image block sparse representation of the dictionary to do joint training
denoiseImageKSVD
- 图像处理中稀疏表示中的ＫＳＶＤ算法，用于求解稀疏系数-Image processing sparse representation K SVD algorithm for solving sparse coefficient