搜索资源列表
CSR_IR
- 这是基于稀疏表示的图像重建，用来做图像去模糊或超分辨，绝对可以用-Sparse Representation for Image Restoration
TIP_ASDS_IR
- 基于自适应的区域选择和自适应的正则化得图像去模糊和超分辨处理，试过可以用-Based adaptive region selection and adaptive regularization was image deblurring and super-resolution processing
Single_Image_SR
- 用于基于稀疏表示的图像超分辨研究很好的一个工具箱-Based on image sparse representation used for image super resolution research is a good tool kit
Example
- 图像超分辨，将训练图像按种类分类并对分块进行K均值算法分类，然后训练成为字典，并对要测试的图像进行超分辨-image super resolution
SRSoftware
- 超分辨重建，基于贝叶斯和总变分，牛人的文章对应的程序-Super-resolution reconstruction, based on Bayesian and total variation, cattle article corresponding program
L1SR
- 图像超分辨代码，利用退化模版和与插值法的对比来进行超分辨，可以调整参数设置超分辨的效果-image superresolution
music
- 这是一个music算法matlab编程的实例，matlab编程实现超分辨-This is a music algorithm matlab programming examples, Matlab programming to achieve super-resolution
Chang-hong
- Chang Hong提出的邻域嵌入方法应用于图像超分辨-Super Resolution- Neighbor Embedding by Chang Hong
FastD
- 一种快速超分辨算法,这一方法在频域完成反卷积运算，比一般算法快许多。-fast super-resolution in frequency domain
FastSuperResolution
- 一种快速超分辨算法,这一方法在频域完成反卷积运算，比一般算法快许多。-fast super-resolution in frequency domain
Image-Super-Resolution-Via-SR
- YANG JC 2010年基于稀疏表示的图像超分辨PPT，全英文-Yang JC 2010 super-resolution image based on sparse representation PPT, English
05466111
- 杨建超 基于稀疏表示的图像超分辨 2010年文章-YANG JC Image Super-Resolution Via Sparse Representation
SparseRepresentationaItsApplication
- 稀疏表达及其应用的简单介绍，其中涵盖了稀疏表示、特征提取、压缩感知、图像增强、盲源分离、模式分类、目标跟踪和图像超分辨等。PPT和PDF是对应的，并添加了可视化的结果。-Sparse Representation and Its Application: Compressive Sensing, Visual Feature, Image Enhancement, Blind Source Separation, Pattern Classification, Object Tracking a
SKR
- 最先进的图像超分辨算法，由美国加州大学Milanfar教授提出。-Latest image super resolution algorithm, propose by Professor Milanfar @ University of California
GradientSuperresolution
- 基于梯度信息的图像超分辨算法，VS工程源码-Gradient information based image super-resolution algorithm, VS project source
NL_IBP
- 非局部迭代反投影 超分辨算法，c 源码-non-local IBP (iterative back projection) super resolution algorithm, C source code
main
- burg距离方位分别外推超分辨算法，实现对稀疏数据的超分辨成像。-burg extrapolation distance and orientation were super-resolution algorithm to achieve the super-resolution imaging sparse data.
superresolution
- 多帧超分辨重建的学术文献，对初学者很有帮助，希望大家早日入门。 -these are some papers about super resolution image resconstruction from multiple images, which are very imaportant to the new comers.
SR--MAP
- 基于MAP(最大似然概率）的图像超分辨重建-map-based images super-resolution construction
super-resolution
- 对模糊的图像进行超分辨复原，运行后可使图像比单纯的插值更加清楚-Blurred image of the super-resolution restoration, running make images more clear than the simple interpolation