SCN_Matlab-master

  深度神经网络，去模糊，超分辨重建,matlab代码。(Deep Networks for Image Super-Resolution with Sparse Prior)

SCN_Matlab-master
.................\data


.................\Demo_SR.m,1172,2016-04-05
.................\Demo_SR_Conv.m,1269,2016-04-05
.................\matconvnet
.................\..........\.gitattributes,119,2016-04-05
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.................\..........\.gitmodules,0,2016-04-05
.................\..........\htm" target=_blank>COPYING,735,2016-04-05
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.................\..........\...\figures
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.................\..........\...\.......\pepper.pdf,702358,2016-04-05
.................\..........\...\.......\svg
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.................\..........\...\.......\...\convt.svg,65347,2016-04-05
.................\..........\...\fundamentals.tex,21296,2016-04-05
.................\..........\...\geometry.tex,16543,2016-04-05
.................\..........\...\impl.tex,16698,2016-04-05
.................\..........\...\intro.tex,18889,2016-04-05
.................\..........\...\Makefile,2071,2016-04-05
.................\..........\...\matconvnet-manual.tex,3773,2016-04-05
.................\..........\...\matdoc.py,7046,2016-04-05
.................\..........\...\matdocparser.py,11108,2016-04-05
.................\..........\...\references.bib,2729,2016-04-05
.................\..........\...\site
.................\..........\...\....\docs
.................\..........\...\....\....\about.md,4972,2016-04-05
.................\..........\...\....\....\css
.................\..........\...\....\....\...\fixes.css,863,2016-04-05
.................\..........\...\....\....\...\tables.css,1716,2016-04-05
.................\..........\...\....\....\developers.md,3392,2016-04-05
.................\..........\...\....\....\faq.md,1064,2016-04-05
.................\..........\...\....\....\functions.md,2587,2016-04-05
.................\..........\...\....\....\gpu.md,1095,2016-04-05
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.................\..........\...\....\....\js
.................\..........\...\....\....\..\mathjaxhelper.js,138,2016-04-05
.................\..........\...\....\....\..\toggle.js,191,2016-04-05
.................\..........\...\....\....\pretrained.md,8571,2016-04-05
.................\..........\...\....\....\quick.md,2556,2016-04-05
.................\..........\...\....\....\training.md,1047,2016-04-05
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.................\..........\...\....\mkdocs.yml,1833,2016-04-05
.................\..........\...\wrappers.tex,7100,2016-04-05
.................\..........\examples
.................\..........\........\cnn_cifar.m,4529,2016-04-05
.................\..........\........\cnn_cifar_init.m,2543,2016-04-05
.................\..........\........\cnn_cifar_init_nin.m,4930,2016-04-05
.................\..........\........\cnn_imagenet.m,6349,2016-04-05
.................\..........\........\cnn_imagenet_camdemo.m,1806,2016-04-05
.................\..........\........\cnn_imagenet_evaluate.m,2960,2016-04-05
.................\..........\........\cnn_imagenet_get_batch.m,3463,2016-04-05
.................\..........\........\cnn_imagenet_googlenet.m,831,2016-04-05
.................\..........\........\cnn_imagenet_init.m,13358,2016-04-05
.................\..........\........\cnn_imagenet_minimal.m,932,2016-04-05
.................\..........\........\cnn_imagenet_setup_data.m,7311,2016-04-05
.................\..........\........\cnn_imagenet_sync_labels.m,588,2016-04-05
.................\..........\........\cnn_mnist.m,3314,2016-04-05
.................\..........\........\cnn_mnist_dag.m,3786,2016-04-05
.................\..........\........\cnn_mnist_experiments.m,828,2016-04-05
.................\..........\........\cnn_mnist_init.m,2385,2016-04-05
.................\..........\........\cnn_train.m,14363,2016-04-05
.................\..........\........\cnn_train_dag.m,10207,2016-04-05
.................\..........\........\cnn_vgg_faces.m,931,2016-04-05
.................\..........\Makefile,8623,2016-04-05
.................\..........\Makefile.mex,793,2016-04-05
.................\..........\Makefile.nvcc,925,2016-04-05
.................\..........\matconvnet.sln,886,2016-04-05
.................\..........\matconvnet.vcxproj,8658,2016-04-05
.................\..........\matconvnet.vcxproj.filters,10956,2016-04-05
.................\..........\matconvnet.xcodeproj
.................\..........\....................\project.pbxproj,76099,2016-04-05
.................\..........\....................\project.xcworkspace
.................\..........\....................\...................\contents.xcworkspacedata,152,2016-04-05
.................\..........\....................\xcshareddata
.................\..........\....................\............\xcschemes
.................\..........\....................\............\.........\matconv CPU.xcscheme,2853,2016-04-05
.................\..........\....................\............\.........\matconv cuDNN.xcscheme,2865,2016-04-05
.................\..........\....................\............\.........\matconv GPU.xcscheme,2853,2016-04-05
.................\..........\matlab
.................\..........\......\%2Bdagnn
.................\..........\......\......\@DagNN
.................\..........\......\......\......\addLayer.m,1299,2016-04-05
.................\..........\......\......\......\DagNN.m,9223,2016-04-05
.................\..........\......\......\......\eval.m,4208,2016-04-05
.................\..........\......\......\......\fromSimpleNN.m,8666,2016-04-05
.................\..........\......\......\......\getVarReceptiveFields.m,3549,2016-04-05
.................\..........\......\......\......\getVarSizes.m,502,2016-04-05
.................\..........\......\......\......\initParams.m,763,2016-04-05
.................\..........\......\......\......\loadobj.m,1347,2016-04-05
.................\..........\......\......\......\move.m,793,2016-04-05
.................\..........\......\......\......\print.m,11333,2016-04-05
.................\..........\......\......\......\rebuild.m,3103,2016-04-05
.................\..........\......\......\......\removeLayer.m,528,2016-04-05