搜索资源列表
pocs_method
- 基于pocs方法的超分辨率重建算法的实现，采用matlab语言。-To achieve super-resolution reconstruction algorithm based pocs method, using matlab language.
image-reconstruction
- 图像超分辨率重建是利用低质量或低分辨率图像来产生高质量或高分辨率图像的技术，重建包括空域方法和频域方法。-Super-resolution image reconstruction is the use of low-quality or low-resolution images to produce a high-quality or high-resolution image technology, including airspace reconstruction methods and
synthesis-SR
- 是一篇外国人写的文章，对自由视点的图像进行超分辨率重建，感觉效果比较好，有能力的人可以学习并实现算法。-It is a foreigner writing essay, for freedom viewpoint image super-resolution reconstruction, the effect is better, have the ability to learn and implement the algorithm.
super-resolutioncode
- 该代码是基于学习的超分辨率重建，此算法是在线字典学习，字典的训练与稀疏表示与重建同时进行。-This code is based on the study of super-resolution reconstruction, this algorithm is learning online dictionaries, dictionaries of training and sparse representation and reconstruction simultaneously.
functions
- 这是一个超分辨率重建程序，此程序可以将多幅低分辨率图像超分位高分辨率图像-it is very useful to study the resolution image,i hope it is useful for you
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
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
sr_by_example-master
- 图像超分辨率重建,基于例子的单幅图像处理，对于图像处理初学者有很大帮助-image supreme-resolution，Based on the example of a single image processing, are of great help for beginners to image processing
SRCNN
- 通过卷积神经网络CNN实现超分辨率重建，利用训练模型实现参数和权重偏移的训练，达到输入低分辨率图像，输出高分辨率图像，测试例程附录。-Convolution neural network CNN to achieve super-resolution reconstruction using a training model parameters and to achieve weight shift training to achieve a low-resolution image inpu
LMS
- 该算法同于计算最小平法差，在图像复原和超分辨率重建中是一个较好的评价参数。-The algorithm is the same as calculating the least square difference, which is a good uation parameter in image restoration and super-resolution reconstruction.
SCN_Matlab-master
- 图像超分辨率重建——CsN_Matlab实现程序，仅作为学习参考之用。-Image super- resolution reconstruction
web-images
- 本程序是基于web图像的超分辨率重建，借鉴参考了其他人的算法-This procedure is based on the super image resolution of web image reconstruction, reference to other people s algorithm
SR
- 图像单帧超分辨率重建主要是将已知的先验知识融合进入图像之中，使图像具有更好的细节和视觉效果。- 46/5000 Túxiàng dān zhèng chāo fēnbiàn lǜ chóngjiàn zhǔyào shi jiāng yǐ zhī de xiān yàn zhīshì rónghé jìnrù túxiàng zhī zhōng, shǐ túxiàng jùyǒu gèng hǎo de xìjié hé shìjué xiàoguǒ. Image single-f
drcn
- 用递归的卷积神经网络方法实现图像的超分辨率重建（深度学习）-Deeply-Recursive Convolutional Network for Image Super-Resolution
77bea7e34bd8
- 利用小波双线性超分辨率重建算法得到的重建图像会出现低、高频系数不匹配的现象，从而使得到的高分辨率图像灰度偏移。本文对该方法进行了改进，并引入局部适应插值得到更为理想的重建算法。即小波与局部适应插值结合算法。-The reconstructed image obtained by wavelet bilinear super- resolution reconstruction algorithm will appear the phenomenon of low and high frequen
Test code for SRCNN
- SRCNN代码实现。该代码使用三层卷积神经网络，进行图像的超分辨率重建，效果比双三次插值好很多(The code uses three layer convolutional neural network for image super-resolution reconstruction, the effect is much better than the double three interpolation.)
DRCN_code
- 使用matlab程序超分辨率重建,图像超分辨率程序(DCRN,Matlab code about super-resolution)
SRCNN_train
- 基于深度学习的超分辨率重建，三层卷积神经网络(super resolutino deep learning)