搜索资源列表
focuss-cndl
- focuss算法 关于图像稀疏性分解中字典学习的经典算法 和大家一同分享 -focuss algorithm on the sparse image decomposition in the dictionary of the classical learning algorithm and we share
KSVD-for-SAR_LOG
- 用基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑，本方法相对于一些经典的SAR图像抑斑方法，抑斑效果大大提高。-Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain，we despeckle SAR image, compared with some of the
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
KSVD_Matlab_ToolBox
- 数字图像处理，K-SVD字典学习方法，信号的稀疏与冗余表示理论，图像压缩，图像去噪-Digital image processing, K-SVD dictionary learning methods, sparse and redundant signal representation theory, image compression, image denoising
eusipco_2012_code
- 基于学习字典的方法进行彩色图像修复 字典学习方法用FastICA-INPAINTING COLOR IMAGES IN LEARNED DICTIONARY
KSVDppt
- KSVD，关于字典学习的英文PPt 以色列图像处理牛人ELAD-KSVD, on learning English dictionary PPt
ImprovedDL
- 这是一篇SCI文章《改善字典学习：多字典更新和系数重用》里的Matlab代码，包含了OMP、Batch-OMP、CoROMP等匹配跟踪算法代码以及改进的K-SVD字典学习算法代码，是图像稀疏表示研究方向重要的源代码，有助于大家学习和改进。-This file folder reproduces the Figures for paper:"Improving Dictionary Learning: Multiple Dictionar
focuss
- focuss算法 关于图像稀疏性分解中字典学习的经典算法-focuss on the image sparse decomposition algorithm in the classical dictionary learning algorithms
DCT-and-MOD
- 文章介绍了一种 过 完 备 字 典 和 算法相结合的图像稀疏表示去噪算法 首 先 将 噪 声 图 像 分 成 小 图 像 块 并 运 用 正 交匹配跟踪算法 在图像的初始化 过完备字典上对小图像块进行稀疏分解 然 后 使 用 字典学习算法对 过 完 备 字 典 进 行 更 新最后重复该过程以获得图像的稀疏表示并重构图像-This paper presents a complete dictionary and algorithm
dictionary
- 基于字典学习和块匹配的自然图像去噪方法，主要克服现有自然图像去噪中纹理细节易丢失和同质区域不平滑的问题。-Dictionary learning and natural image denoising method based on block matching, mainly to overcome the existing natural image denoising easily lost and homogeneous tex
MOD
- 这个是自己编写的MOD算法的程序，用于字典学习，具体的应用有图像融合，图像去噪，丢失点补充等。-this is a dictionary learning method, and the reader can use this algorithm to do image fusion and image denosing.
dicbelevel
- 字典学习，可以用于视觉图像的处理，例如恢复，重建，去噪-Dictionary to learn, can be used to deal with visual images, such as rehabilitation, reconstruction, de-noising, etc.
CSR_Denoising
- 本程序使用结构聚类和字典学习对图像去噪声，完整代码和示例，不错的效果-To remove noise add to the image,the program uses a learning dictionary and the clustering structure,finally lead to the good results! !
incrementallearning_LCKSVD_shared
- 单幅图像超分辨处理 深度学习 稀疏表示 字典学习(Single image, super-resolution processing, depth learning, sparse representation, dictionary learning)
K-SVD_and_W_KSVD_Sparse_Representation
- 通过字典学习更新的方法，对图像信号进行稀疏化分解(Through the method of learning and updating the dictionary, the image signals are sparse decomposed)
Fisher字典学习
- 基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)
字典学习
- 一种基于KSVD字典学习的多任务超分辨率图像重构方法,主要解决现有方法在高放大因子下重构图像质量下降比较严重的问题(A multi task super-resolution image reconstruction method based on KSVD dictionary learning is mainly used to solve the problem that the quality of image reconstr
图像修复
- 应用DCT字典和KSVD学习字典，对图像进行简单的修复，可行性较高，速度不是很快。(Simple image restoration is feasible and not very fast.)
14、字典学习
- 经典的KSVD图像字典学习，matlab 代码，有注释，亲测可用(The classic KSVD image dictionary learning, matlab code, include notes, test available)
Dictionary-learning-master
- 字典学习通过优化某个目标泛函, 由样本训 练出更适应于当前图像或者信号表示的自适应字典.(In dictionary learning, an adaptive dictionary which is more suitable for current image or signal representation is trained by optimizing a target function)