搜索资源列表
displayDictionaryElementsAsImage
- 经常用到的分块显示的程序。用于将字典中的原子分块显示出来-function I = displayDictionaryElementsAsImage(D, numRows, numCols, X,Y) displays the dictionary atoms as blocks. For activation, the dictionary D should be given, as also the number of rows (numRows) and columns
chapter6_Julia
- 内含Mandelbrot集的局部放大源代码,Julia集的局部放大源代码,Newton迭代法的局部放大源代码和作为Julia集字典的Mandelbrot集源代码-The enlarged partial source code containing the Mandelbrot set, Julia sets partial enlarged source code of Newton iterative method enlarged partial source code and as Ju
ScSR
- Jianchao Yang 的基于稀疏表示的单幅图像重建的原始代码,先将高低训练图像分块,再将块训练成高低字典,将测试图像映射到低字典上,得到系数,再乘以高子典就得到最后的图像。对学习超分辨率同学的参考作用很大。-This is the original matlab code for super resolution by Jianchao Yang 。The method is sparse represent based on the overcomplete dictionary。
Elad-ksvd-matlab-toolbox
- 稀疏表示,字典学习,KSVD算法,matlab版-Sparse representation dictionary learning, KSVD algorithm, matlab
homework3_SC12023179
- 霍夫曼图像编码,有文档说明,冒泡排序,直方图显示,字典统计-Hoffman image coding, documentation, bubble sort, histogram display, dictionary statistics
denoiseImageDCT
- 本算法实现了dct基字典的构造并用其进行对图像的消噪。-Algorithm DCT-based dictionary structure and use it for image de-noising.
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 Dictionary Updates and Coefficient Reus
sparse
- 应用局部表示进行图像显著度检测,该方法不需要事先学习字典。-local sparse representation for detecting image saliency with out learning a dictionary.
Curvelet
- 曲波变换是图像处理领域中稀疏表示最常用的一种字典,其中MCA分解模型中经常用到。-Bo transform the field of image processing is the most common kind of sparse representation dictionary MCA decomposition model which is often used.
chengshi
- 运用模式匹配的思想,正则表达式的工具,对网页中图形,文字的截取,还有函数编程,字典的应用-Ideas using pattern matching, regular expression tool, web page graphics, text capture, also function programming, the application dictionary
KSVD
- 压缩传感中稀疏字典KSVD算法,能实现信号的稀疏表示,和图像重构-important to image
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
Deformable-segmentation
- 基于稀疏表示和字典的分割,稀疏表示和字典分割来分割医学图像-Deformable segmentation via sparse representation and dictionary learning
AnalysisKSVD
- 稀疏表示,字典学习,初学者,KSVD-Sparse representation dictionary learning, beginners, KSVD etc.
KSVD
- 稀疏表示中字典学习算法KSVD的实现,可以得到冗余字典,代码内部有详细注释-The realization of the sparse representation of a dictionary learning algorithm KSVD, can get a redundant dictionary, internal has a detailed code comments
spatial_pyramid_code
- 通过对图片提取特征,将特征用bow算法构建图片特征的字典。-Through the image feature extraction, the characteristic feature of the dictionary build pictures with bow algorithm.
8-(1)
- 图像修复是对图像中破损区域进行信息填充,以减少图像破损所带来的信息损失的过程。 传统的图像修复方法需要依赖图像的具体结构来制定相应的修复方法,压缩感知理论的提出,使得可以利 用信号的稀疏性来对图像进行修复。基于K 奇异值分解(KSVD)与形态学成分分析(MCA,Morphological Component Analysis)的图像修复方法首先采用形态学成分分析方法对破损图像进行特征分析,将其分解 为结构部分和纹理部分;然后基于学习型字典KSVD分别对这两部分进行过完备字典训练;
background-model7
- 针对智能视频监控中运动目标的检测,提出了一种基于字典学习的背景建模方法.结合时空域信息对视频中的每个位置进行字典学习来描述场景信息.利用背景频繁出现的特性,将字典中的词划分成描述背景的词和描述前景的词.用字典表达对应位置的结构,并根据字典中贡献最大词的属性对当前位置进行背景判断.根据判断的结果对字典进行实时更新.在公共的视频数据库上与传统的背景建模方法相比较,所提方法可以较好地检测出前景目标.-Intelligent video surveillance to detect moving tar
KSVD
- 利用ksvd算法对矩阵进行奇异值分解实现压缩感知中的字典训练,-Use ksvd algorithm matrix singular value decomposition to achieve compression dictionary perception training,
ksvdtest
- ksvd字典学习,自己写的,经过测试可以用-ksvd dictionary learning, their own writing, the test can be used