SRCNN_main

代码说明：

说明：  基于CNN网络实现图像的超分辨率重建。其目标是充分发挥卷积神经网络在超分辨率重建中的作用。(Super-resolution reconstruction of images based on CNN network. The goal is to fully exploit the role of convolutional neural networks in super-resolution reconstruction.)

文件列表：

SRCNN_main\compute_psnr.m, 314 , 2014-09-02
SRCNN_main\demo_SR.m, 2137 , 2015-01-13
SRCNN_main\modcrop.m, 279 , 2014-03-27
SRCNN_main\model\9-1-5(91 images)\x2.mat, 38625 , 2014-09-02
SRCNN_main\model\9-1-5(91 images)\x3.mat, 38483 , 2014-09-01
SRCNN_main\model\9-1-5(91 images)\x4.mat, 38489 , 2014-09-01
SRCNN_main\model\9-1-5(ImageNet)\x3.mat, 38350 , 2015-01-12
SRCNN_main\model\9-3-5(ImageNet)\x3.mat, 115087 , 2015-01-13
SRCNN_main\model\9-5-5(ImageNet)\x2.mat, 268933 , 2015-01-12
SRCNN_main\model\9-5-5(ImageNet)\x3.mat, 267591 , 2015-01-12
SRCNN_main\model\9-5-5(ImageNet)\x4.mat, 269001 , 2015-01-12
SRCNN_main\Readme.txt, 1975 , 2015-01-13
SRCNN_main\Set14\baboon.bmp, 720054 , 2013-10-06
SRCNN_main\Set14\barbara.bmp, 1244214 , 2013-10-06
SRCNN_main\Set14\bridge.bmp, 263222 , 2013-10-06
SRCNN_main\Set14\coastguard.bmp, 304182 , 2013-10-06
SRCNN_main\Set14\comic.bmp, 271526 , 2013-10-06
SRCNN_main\Set14\face.bmp, 228584 , 2013-10-06
SRCNN_main\Set14\flowers.bmp, 543054 , 2013-10-06
SRCNN_main\Set14\foreman.bmp, 304182 , 2013-10-06
SRCNN_main\Set14\lenna.bmp, 786486 , 2013-10-06
SRCNN_main\Set14\man.bmp, 786486 , 2013-10-06
SRCNN_main\Set14\monarch.bmp, 1179702 , 2013-10-06
SRCNN_main\Set14\pepper.bmp, 786486 , 2013-10-06
SRCNN_main\Set14\ppt3.bmp, 1041782 , 2013-10-06
SRCNN_main\Set14\zebra.bmp, 688214 , 2013-10-06
SRCNN_main\Set5\baby_GT.bmp, 786486 , 2013-10-06
SRCNN_main\Set5\bird_GT.bmp, 248886 , 2013-10-06
SRCNN_main\Set5\butterfly_GT.bmp, 196730 , 2013-10-06
SRCNN_main\Set5\head_GT.bmp, 235254 , 2013-10-06
SRCNN_main\Set5\woman_GT.bmp, 235350 , 2013-10-06
SRCNN_main\shave.m, 110 , 2013-10-06
SRCNN_main\SRCNN.m, 1502 , 2015-01-12
SRCNN_main\model\9-1-5(91 images), 0 , 2015-01-12
SRCNN_main\model\9-1-5(ImageNet), 0 , 2015-01-12
SRCNN_main\model\9-3-5(ImageNet), 0 , 2015-01-12
SRCNN_main\model\9-5-5(ImageNet), 0 , 2015-01-12
SRCNN_main\model, 0 , 2015-01-12
SRCNN_main\Set14, 0 , 2015-01-12
SRCNN_main\Set5, 0 , 2015-01-12
SRCNN_main, 0 , 2015-01-12