搜索资源列表
superresoly
- 超分辨率源代码，用它可以实现超分辨率，提高影像的分辨率，可以使一使-super-resolution source code, using it to achieve super-resolution and improve image resolution, can make a
super_resolve_up
- Super resolution reconstruction using Non-Local-Mean algorithm.
iccv13_super_supp_v3
- Fast Direct Super-Resolution by Simple Functions by C.-Y. Yang and M.-H. Yang [paper]
GenericSRv1.1
- Fast Direct Super-Resolution by Simple Functions Chih-Yuan Yang Project: Generic Single-Image Super-Resolution-Fast Direct Super-Resolution by Simple Functions Chih-Yuan Yang Project: Generic Single-Image Super-Resolution
LZSR4345556-
- yangjianchao将稀疏编码引入到超分辨率重建的文章-Yangjianchao will be introduced to the sparse coding super-resolution reconstruction
SCDL_supple
- Semi-Coupled Dictionary Learning with Applications to Image Super-Resolution and Photo-Sketch Synthesis 文章算法实现-Semi-Coupled Dictionary Learning with Applications to Image Super-Resolution and Photo-Sketch Synthesis Algorithm article
Timofte-ICCV-2013
- Anchored Neighborhood Regression for Fast Example-Based Super-Resolution
Example-based-SR
- 基于学习的超分辨率重建。带有实例和代码注释（日文），简单易懂，运行良好。欢迎大家学习！-Learning-based super-resolution reconstruction. With examples and code comments (in Japanese), easy to understand, running well. Welcome everyone to learn!
IBP_SR
- 基于IBP法的超分辨率图像重构。带有实例和注释（日文）。简单易懂，运行良好。欢迎大家学习！-IBP-based super-resolution image reconstruction method. With examples and comments (in Japanese). Easy to understand, running well. Welcome everyone to learn!
FaceRecognitionBased-OnDeepLearning
- 本文运用深度神经网络的方法克服姿态变量和图像分辨率的影响,提出了一种多姿态的人脸超分辨识别算法并在实验数据集上获得了良好的性能表现。另外本文利用深度信念网络探索正面人脸图像和侧面人脸图像的映射,方法放松了深度信念网络的输入也输出之间绝对相等,而只是保证其高层含义上的相等。实验表明了使用深度信念网络可以学习到侧面人脸图像到正面人脸图像的一个全局映射,但是丢失了个体细节差异。本文还提出了基于深度网络保持姿态邻域进行姿态分类的方法,在学习过程中,我们保证了同一个姿态下的人脸图像应该与同一姿态下的多张图
1
- 一种未知信源数的高分辨DOA 估计算法：众多性能优良的超分辨波达方向(DOA)估计算法通常需要预先判定信源数目，然而，现有的信源数估计 算法在有限采样快拍条件下，估计性能随着信噪比的降低而下降，错误概率也相应增加，最终导致DOA 估计失败。 该文提出一种超分辨的DOA 估计算法，此算法不需要预判信源个数和进行特征值分解，同时在时变环境中，针对 快拍数较少的情况下，依然保持较高的角度分辨能力，可以被认为是综合了Capon 法和MUSIC 法的优点。-Algorithm on High
EPFL
- This project is a simple implementation of the Iterative Back-Projection (IBP) algorithm for solving the Super-Resolution problem. It was first proposed by Michal Irani in her 1991 paper "Improving resolution by image registration". The imag
CA_DOA
- 用matlab编写的压缩感知DOA,对于超分辨学习很有帮助，内容非常详细-Compressed sensing using matlab DOA, very helpful for super-resolution, very detailed
obermodelzh
- 该matlab程序是自己编的，生成一组亚像素位移低分辨率图像，用于验证亚像素匹配或超分辨率重建。-get low resolution image of subpixel shift,used for image registration or Image Super-Resolution
richardlucy
- richardlucy去卷积方法，可以运用于图像复原或者超分辨率重建-richardlucy deconvolution method can be applied to super-resolution image restoration or reconstruction
romp
- romp算法实现基于稀疏表示的图像超分辨率算法字典对的训练，本代码为matlab文件 -Romp algorithm to realize image super-resolution algorithm based on sparse representation of a dictionary of training, the code for the matlab files
chazhi-chongjian
- 插值法图像超分辨率重建，matlab代码，可以交流学习一下.-Interpolation image super-resolution reconstruction, matlab code, you can learn about the exchange.
POCS
- 基于凸集投影的超分辨率图像重建，该方法用多帧低分辨率图像重建一帧高分辨率图像，在时间和精度上重建效果都较好。-Super-resolution image reconstruction based on POCS, the method using multi-frame low-resolution image of a frame resolution image reconstruction, rebuilding on time and accuracy results are bett
55027800SRes
- 超分辨率重建技术的研究与复原部分源代码，不是很全-Super-resolution reconstruction technology research and recovery part of the source code, is not all
superresolution_dataset
- 超分辨率数据库，用于超分辨率分析的图像数据库-Super-resolution database! !