搜索资源列表
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
SRCNN
- SRCNN超分辨率重构的matlab应用(Matlab application of SRCNN super-resolution reconstruction)
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
超分辨的MATLAB程序
- SRCNN的学习，十分有用，只需改变你想调试的图片地址(The study of SRCNN.I believe it will help you)
SRCNN_TEST
- 基于卷积神经网络的图像超分辨率重建，不含训练程序，包含已训练好的model !(Test code for Super-Resolution Convolutional Neural Networks (SRCNN))
SRCNN
- 包含SRCNN训练好的模型，常用训练图像，以及SRCNNmatlab代码，注释详细(Including srcnn trained models, common training images, and srcnmatlab code, with detailed notes)
SRCNN train
- 利用matlab做深度学习，SRCNN作为超分辨率重建开山之作，用matlab进行代码复现(Matlab to do deep learning, SRCNN as a super resolution reconstruction work, using matlab for code reproduction)