搜索资源列表
baker_simon_1999_3
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
pxc3876788
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
CreatH
- 代码实现了超分辨率重建时用到的n倍下采样，程序较简单，原理也很简单，所以一般没人特别指出怎么做，但是初学者往往很头疼，特地实现下-N times down-sampling used in the code to achieve super-resolution reconstruction, the procedure is relatively simple, the principle is very simple, it is generally not particularly poi
upResolDemo
- 这是一个超分辨率图像复原的代码，仿真实验结果较好，不过原作者对其中两个文件处理过，所以不知道具体的原理-This is a super-resolution image restoration code, simulation results, however, the original author treated them two files, so I do not know the specific principle
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
MAP
- 基于map的图像超分辨率的重构算法,用matlab来实现,非常实用-Image super-resolution reconstruction algorithm based on the map, using matlab to achieve very practical
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。
code2
- matlab图像处理图像超分辨率放大 临域嵌入法 编程实例-Super-Resolution Through Neighbor Embedding code
Structure-Analysis-of-Patches
- 通过块结构分析的基于样例学习的超分辨率重建-Example-Based Super-Resolution via Structure Analysis of Patches
SR
- 用于实现图像超分辨率重建的不同算法的matlab程序，可直接编译-Used to achieve super-resolution image reconstruction algorithm matlab program can be compiled directly
Iterative-projection-SuperResolution
- 迭代投影法的超分辨率重建,迭代投影，即IBP-Super-resolution reconstruction iterative projection method, iterative projection that IBP
SuperResalution-elle-thesis
- 图像超分辨率算法的研究，介绍了ML、MAP等超分辨率算法的核心思想，GMRF先验选择等，对学习图像超分辨率重建很有帮助-Image super-resolution algorithm, the core idea of the ML, MAP super-resolution algorithm GMRF prior selection, useful for learning image super-resolution reconstruction
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
Kolte_Arora_Image_Superresolution
- Super resolution algorithm
123
- 利用互信息，进行基于互信息的图像超分频重建-A Mutual Information Based Sub-Pixel Registration Method for Image Super Resolution
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
chaofenbian
- 对彩色图像从低分辨率到高分辨率重建的代码-Super-resolution using 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