搜索资源列表
KSVD_Matlab_ToolBox
- KSVD工具包,可以用于去噪\\增强等多种领域,具体方法是先训练方向,然后沿方向进行
demo
- KSVD图像去噪,组稀疏编码，新的去噪思路-KSVD image denoise，group spare coding
ksvdbox
- 经典的ksvd字典学习算法,可用于信号去噪,图像重建等-Classical ksvd dictionary learning algorithm can be used to signal denoising, image reconstruction
Matlab-Package-Book
- 稀疏表示，包括ksvd图像去噪，很好 很好 很好 很好 很好 很好 -Sparse representation, including ksvd image denoising，Good good good good good good good good good good good good good good good good good good good good good good good good
HyperDenoise
- 高光谱图像去噪，用4种方法进行对比PCA,WPCA,Contourlet-PCA,KSVD-PCA-Hyperspectral image denoising, using 4 methods to compare PCA, WPCA, Contourlet-PCA, KSVD-PCA
dictionary
- 字典学习 ，用于图像去噪的字典学习 ksvd-dicitionary learn
KSVD_Matlab_ToolBox
- 基于KSVD算法的图像去噪算法，稀疏表示，字典学习，OMP算法，基于DCT字典的图像去噪，demo可以直接运行。-Image denoising by KSVD algorithm，spare representation，dictionary learning，OMP algorithm，DCT dictionary
image denoising
- 图像去噪修复的典型算法代码包，包含基于稀疏表示的KSVD图像去噪，BM3D彩色图像去噪代码，TV图像修复代码，MCA图像修复代码。(Typical image denoising algorithm code package, including sparse representation based on KSVD image denoising, BM3D color image denoising code, TV image restoration code, MCA image res
KSVD_Matlab_ToolBox
- 使用ksvd的工具，能深入理解ksvd算法在图像去噪方面的应用。(Using ksvd tools, we can deeply understand the application of ksvd algorithm in image denoising.)
ksvd算法
- 图像去噪稀疏表示，新型的去噪方法相比传统的方法有很多优点。