文件名称:SRCNN
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- 上传时间：2018-03-19
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文件大小：6.71mb
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介绍说明－－下载内容来自于网络，使用问题请自行百度
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-Resolution Using Deep Convolutional Networks" (arXiv:1501.00092). This Matlab version is a re-implementation, and is for the ease of understanding the algorithm. This code is not optimized, and the speed is not representative.)
相关搜索： cnn matlab
super-resolution
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| model\9-1-5(91 images)\x2.mat | 38625 | 2014-09-02 |
| model\9-1-5(91 images)\x3.mat | 38483 | 2014-09-01 |
| model\9-1-5(91 images)\x4.mat | 38489 | 2014-09-01 |
| model\9-1-5(ImageNet)\x3.mat | 38350 | 2015-01-12 |
| model\9-3-5(ImageNet)\x3.mat | 115087 | 2015-01-13 |
| model\9-5-5(ImageNet)\x2.mat | 268933 | 2015-01-12 |
| model\9-5-5(ImageNet)\x3.mat | 267591 | 2015-01-12 |
| model\9-5-5(ImageNet)\x4.mat | 269001 | 2015-01-12 |
| Set5\baby_GT.bmp | 786486 | 2013-10-06 |
| Set5\bird_GT.bmp | 248886 | 2013-10-06 |
| Set5\butterfly_GT.bmp | 196730 | 2013-10-06 |
| Set5\head_GT.bmp | 235254 | 2013-10-06 |
| Set5\woman_GT.bmp | 235350 | 2013-10-06 |
| Set14\baboon.bmp | 720054 | 2013-10-06 |
| Set14\barbara.bmp | 1244214 | 2013-10-06 |
| Set14\bridge.bmp | 263222 | 2013-10-06 |
| Set14\coastguard.bmp | 304182 | 2013-10-06 |
| Set14\comic.bmp | 271526 | 2013-10-06 |
| Set14\face.bmp | 228584 | 2013-10-06 |
| Set14\flowers.bmp | 543054 | 2013-10-06 |
| Set14\foreman.bmp | 304182 | 2013-10-06 |
| Set14\lenna.bmp | 786486 | 2013-10-06 |
| Set14\man.bmp | 786486 | 2013-10-06 |
| Set14\monarch.bmp | 1179702 | 2013-10-06 |
| Set14\pepper.bmp | 786486 | 2013-10-06 |
| Set14\ppt3.bmp | 1041782 | 2013-10-06 |
| Set14\zebra.bmp | 688214 | 2013-10-06 |
| compute_psnr.m | 314 | 2014-09-02 |
| demo_SR.m | 2137 | 2015-01-13 |
| modcrop.m | 335 | 2015-11-04 |
| Readme.txt | 1975 | 2015-01-13 |
| shave.m | 110 | 2013-10-06 |
| SRCNN.m | 1502 | 2015-01-12 |
| model\9-1-5(91 images) | 0 | 2018-03-19 |
| model\9-1-5(ImageNet) | 0 | 2018-03-19 |
| model\9-3-5(ImageNet) | 0 | 2018-03-19 |
| model\9-5-5(ImageNet) | 0 | 2018-03-19 |
| model | 0 | 2018-03-19 |
| Set5 | 0 | 2018-03-19 |
| Set14 | 0 | 2018-03-19 |
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