搜索资源列表
SuperresolutionDemo
- The low-resolution images have small translations and rotations the high-resolution reference image. The problem consists of constructing a model of linear transformations for each image, and then piecing together the images to form the high-resoluti
mp_project
- Super-resolution deals with the construction of highresolution images using a set of low-resolution images obtained a scene with subpixel shifts. These lowresolution images are typically obtained a jittery camera source, such as a camera mounted -Sup
super_Grad_Descent
- In this project, we attempt to solve the super-resolution problem with a MAP approach, following Hardie, et. al [1]. We construct a model of the low-resolution images and attempt to learn the high-resolution images. Effects of model parameters are di
Image-S-R
- 一种基于稀疏先验模型的图像超分复原代码，运行结果较理想，值得借鉴-Image Super-Resolution with Sparse Prior
reference
- 基于线性插值的高光谱图像超分辨率重建的文档介绍-Hyperspectral image super-resolution linear interpolation reconstructed documents
KSVD_Matlab_ToolBox
- 主要是图像超分辨率重建中字典算法的一种ksvd工具箱，是一种快速字典算法-The main image is a kind of super-resolution reconstruction algorithm ksvd Toolbox dictionary, the dictionary is a fast algorithm
Edge-directed-interpolation
- image super resolution using edge interpolation
Machine-Learning-
- Efficient Learning of Image Super-resolution and Compression Artifact Removal with Semi-Local Gaussian Proce-Efficient Learning of Image Super-resolution and Compression Artifact Removal with Semi-Local Gaussian Process
Training-code-for-SRCNN
- 超分辨卷积神经网络，深度学习，MATLAB代码，获取深度学习的训练数据-Super-resolution convolution neural network, the depth of learning, MATLAB code, get deep learning of the training data
Test-code-for-SRCNN
- 深度学习，超分辨卷积神经网络，获取测试数据的MATLAB代码-Depth study, the super-resolution convolution neural network, access to test data MATLAB code
imagereconstruction
- 通过四邻域方法获得低分辨率图像，用双线性插值和邻域插值进行超分辨率图像重建-The low resolution image is obtained by the four neighborhood method, and the super resolution image is reconstructed by the bilinear interpolation and the neighborhood interpolation.
gradientImage
- 自然图像的梯度分布为重尾分布，超拉普拉斯分布，本代码通过概率统计画出梯度分布的曲线-The heavy-tailed distribution of gradients in natural scenes have proven effective priors for a range of problems such as denoising, deblurring and super-resolution.These distributions are well modeled by a
single_image_SR
- 关于超分辨分析的一篇文章，介绍全面，可借鉴进行图像的超分辨分析-About super-resolution analysis of an article about a comprehensive, we can learn the super-resolution image analysis
Super-resolution
- 实现联合字典训练的超分辨率重建算法，通过分别训练高分辨率字典和低分辨率字典-1. The demo code is for upscaling factor of 2. For larger magnification factors, run the function ScSR.m multiple times. Note the code is a little different what presented in the TIP10 paper. Please find the p
reg_sparse_coding
- 稀疏重建联合字典训练用于超分辨率重建，基于正则化框架-Dictionary sparse reconstruction joint training for super-resolution reconstruction, based on the regular framework
mexplus-master
- 超分辨率程序 能够较好的对图像进行超分辨率重新操作，得到一副提高空间分辨率的图像。-Super resolution procedures can be better for the image super-resolution re operation, get a pair of images to improve the spatial resolution.
interpolation
- 基于小波变换的超分辨的程序 程序性能良好-super resolution
functions
- 高光谱图像超分辨方法的实现。将原始图像降采样成低分图像（和普通图像），然后在降采样后的数据上进行超分辨。-Hyperspectral image super-resolution implementation of the method. Downsampling the original image into a low image (and the general image), then the super-resolution data on the drop after samplin
MRI-super-resolution-with-Tikhonov
- This method produce the register of a number of images of MRI with selected displacements in order to realize a Tikhonov SR procedure
SRCNN
- 深度卷积神经网络超分辨，来自于ECCV2014一篇文章的代码，代码好用-Depth of the convolutional neural network super resolution, the ECCV2014 an article of the code, code easy to use