搜索资源列表
map
- MAP超分辨率重建算法,实现图像的超分辨率重建。-the MAP code for super-resolution
typical
- 数字图像处理中的常用图,LEANNA图,大米图等等,超多图像。-Digital image processing in commonly used map, LEANNA maps, map of rice, etc., super multi-image.
svdd
- 超球面支持向量机,一种构建超球面来进行分类的单类svm -Ultra-spherical support vector machine, a super-spherical to build a single-category classification SVM
super
- superresolution, image restoration
super-reserlution
- 在一图像中加入噪声,是超分辨率中的一个重要步骤哦-noise
super
- 超分辨率的一些博士硕士论文,需要用CAJViewer打开,初期学习超分辨率挺有帮助的。-Super-resolution of a number of doctoral thesis, need CAJViewer open, super-resolution winter ridge early learning assistance.
Sparse Lab 200-Core
- 基于多帧图像插值(Interpolation)技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息,获得HR图像在非均 匀间距采样点上的象素值,接着通过非均匀插值得到HR栅格上的象素值,最后 采用图像恢复技术来去除模糊和降低噪声(运动估计!非均匀插值!去模糊和 噪声)。-In this paper, we propose a novel method for solv- ing single-image super-resoluti
Fast-and-robust-multiframesR
- 快速及鲁棒的超分辨率图像重建,利用盲解卷积的方法实现-Fast and robust super-resolution image reconstruction, the use of blind deconvolution method
Resolution-Image-Reconstruction
- :超分辨率(sR)重建技术是利用一幅或多幅低分辨率(LR)图像的信息重建出一幅高分辨率(HR)图像,同时能够 消除由成像器件引入的模糊、噪声。该技术应用领域广泛,已经成为国内外图像处理领域的研究热点之一。介绍了超分 辨率重建技术的基本原理,并分别以单帧和多帧、频域和空域为分类依据,分别阐述了超分辨率重建技术的经典方法,系 统地总结了各种方法的优缺点,提出了超分辨率重建技术可能的研究方向,从而为超分辨率重建相关技术的进一步研究 提供一定的理论基础-Abstract:Super—re
Image-Super
- 通过稀疏表示图像超分辨率(TIP2010)-Image Super-Resolution via Sparse Representation(TIP2010)
resolution
- 一个基于单幅低分辨率彩色图像的超分辨率重建程序-A super-resolution reconstruction program based on single low-resolution color images
Fast-a-Robust-Super-Resolution(BTV)
- 快速超分变率重建,基于TV的基础上进行BTV编程,鲁棒性良好。时间,空间上都很不错算法-Super-fast variability reconstruction, carried out on the basis of TV program on BTV, robustness is good. Time and space are very good 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.
NSSR_HSI_SR
- 使用贝塔过程进行联合字典学习进而进行超分辨重建(use beta process joint dictionary learning to image super-resolution)
Dual_Dic_SR
- 通过进行双字典学习来完成单幅影像超分辨率重建(use dual dictionary learning to single image super resolution)
IBP
- 4帧图像刚性仿射变换,得到低分辨率图像,用IBP重建超分辨率图像(4 frame image rigid affine transformation, low resolution image, IBP reconstruction of super-resolution image)
super-resolution.pdf
- Image Super-Resolution via Sparse Representation, J Yang.pdf.gz
SRCNN
- 是《Learning a Deep Convolutional Network for Image Super-Resolution》文章相关的MATLAB代码,可以利用训练好的字典,通过CNN实现超分辨率重建(SR)的功能。(Matlab demo code for "Learning a Deep Convolutional Network for Image Super-Resolution" (ECCV 2014) and "Image Super-Reso
SRCNN-Tensorflow-master
- 超分辨率重建 TensorFlow 实现 基于卷积网络(super resolution based on convolution network using tensorflow framework)
ScSR
- 杨建超的将稀疏表达用于图像超分辨率重建的文章赋代码(Example matlab code for the algorithm proposed in "Image super-resolution via sparse representation" TIP 2010.)