搜索资源列表
superresolution_v_2.0.zip
- 超分辨率图像的重建问题，运用的很多当下最新的方法，可以帮助大家尽快了解超分辨率图像重建问题,Super-resolution image reconstruction problems, the use of many of the current up-to-date methods that can help you as soon as possible to understand the issue of super-resolution image reconstruction
imagereconstruction
- 基于小波和插值的超分辨率图像重建算法，通过插值后将小波分解应用于图像中，再通过逆变换得到重构图像-And interpolation based on wavelet super-resolution image reconstruction algorithm by interpolating the image after the wavelet decomposition used, then the reconstructed image through the inverse tran
POCS-SuperResulution
- 本程序主要实现低分辨率图像的超分辨率重建，有助于我们理解图像重建的过程和原理-This procedure is mainly to achieve super-resolution reconstruction of low-resolution images help us understand the process and principles of image reconstruction
super_resolusion-pocs
- 本代码是用Matlab实现图像的超分辨率重建，方法为凸集投影法，能从多幅低分辨率图像重建一幅高分辨率图像。-We use Matlab to reconstruct image. The method is convex projection on suoer-resolution(POCS).
elleSR_0.2
- Visual Geometry Group项目组开发的超分辨率重建的源码，具有很好的效果。 附有详细的文档说明，可直接运行-a good super-resolution reconstruct source code developed by Visual Geometry Group, with detail descr iption
fuse
- 图像超分辨率重建算法，实现图像的超分辨率重建。-super-resolution
superresolution_v_2_0
- 本程序提供超分辨率重建的c++代码，里面包含有pdf格式的文献，详细介绍了算法细节-This procedure provides super-resolution reconstruction c++ Code, which contains pdf format documents, detailing the details of the algorithm
反演解析算法
- 仿真获取四幅互差半个像素的低分辨率图像，利用反演解析算法重建出一副高分辨率图像，属于亚像元技术或者超分辨率技术。-Simulation Interoperability poor access to four half-pixel low-resolution images, the use of inversion algorithm for the reconstruction of an analytic high-resolution images, belong to sub-pixe
rebuild
- 图像超分辨率重建部分功能实现，特征点提取采用forstner算子实现-high resolution rebuild
PCA
- 图像超分辨率重建算法，实现图像的超分辨率重建。-super-resolution code
SparseOLS
- 图像超分辨率重建算法，实现图像的超分辨率重建。-super-resolution
Sparse_Vision
- 基于稀疏表示的计算机视觉和模式识别，主要介绍了利用稀疏表示的原理来处理计算视觉领域的去噪，识别，超分辨率重建等问题-Sparse Representation For Computer Vision and Pattern Recognition
1
- 红外图像超分辨率重建仿真研究硕士论文，运用matlab语言进行了基于lX1和2X2两种微扫描工作模式的微位移、反演解析、POCS等三种重建算法的仿真实验，有效地解决了由于欠采样所引起的模糊效应-Super-resolution infrared image reconstruction simulation pp matlab language use and 2X2 based lX1 two micro-micro-scanning mode of displacement, inversi
SR
- 利用稀疏矩阵思想进行图像的超分辨率重建，效果较好。-Thinking of using sparse matrix for image super-resolution reconstruction, the effect is better.
An-adaptive
- 自适应正则化的超分辨率重建程序，采用L1L2范数。-Adaptive Regularized super-resolution reconstruction of the program, using L1L2 norm.
RegularizationPToolsPVersionP4.1
- 正则化工具,里面有TV正则化，用超分辨率重建-regulation tool
experiment
- 单幅影像超分辨率重建，采用插值算法，可运行出结果。
SuperResolution
- 图像的超分辨率重建，比利用了三次插值好，matlab代码，初学者(Image super-resolution reconstruction, than the use of three interpolation is good, matlab code, beginners)
Tikhonov正则化超分辨率重建
- 一个基于Tikhonov正则化超分辨率重建，可以成功运行。(A Tikhonov based regularized super resolution reconstruction can be successfully operated.)
基于IBP算法的超分辨率图像重建
- 基于IBP算法的超分辨率图像重建，原理讲得十分清楚。(Super-resolution image reconstruction based on IBP algorithm. The principle is very clear.)