91av视频/亚洲h视频/操亚洲美女/外国一级黄色毛片 - 国产三级三级三级三级

  • 大小: 84.93MB
    文件類型: .rar
    金幣: 1
    下載: 0 次
    發布日期: 2023-07-19
  • 語言: Matlab
  • 標簽: matlab??

資源簡介

這里主要講深度學習用在超分辨率重建上的開山之作SRCNN。超分辨率技術(Super-Resolution)是指從觀測到的低分辨率圖像重建出相應的高分辨率圖像,在監控設備、衛星圖像和醫學影像等領域都有重要的應用價值。SR可分為兩類:從多張低分辨率圖像重建出高分辨率圖像和從單張低分辨率圖像重建出高分辨率圖像。基于深度學習的SR,主要是基于單張低分辨率的重建方法,即Single Image Super-Resolution (SISR)。 SR方法主要可以分為四種模型:基于邊緣,基于圖像統計,基于樣本(基于補丁)的方法。本文的SRCNN網絡結構非常簡單,僅僅只有三層網絡就是實現了SR。網絡結構如下圖所示:

資源截圖

代碼片段和文件信息

clear;close?all;
%%?settings
folder?=?‘Test/Set5‘;
savepath?=?‘test.h5‘;
size_input?=?33;
size_label?=?21;
scale?=?3;
stride?=?21?;

%%?initialization
data?=?zeros(size_input?size_input?1?1);
label?=?zeros(size_label?size_label?1?1);
padding?=?abs(size_input?-?size_label)/2;
count?=?0;

%%?generate?data
filepaths?=?dir(fullfile(folder‘*.bmp‘));
????
for?i?=?1?:?length(filepaths)
????
????image?=?imread(fullfile(folderfilepaths(i).name));
????image?=?rgb2ycbcr(image);
????image?=?im2double(image(:?:?1));
????
????im_label?=?modcrop(image?scale);
????[heiwid]?=?size(im_label);
????im_input?=?imresize(imresize(im_label1/scale‘bicubic‘)[heiwid]‘bicubic‘);

????for?x?=?1?:?stride?:?hei-size_input+1
????????for?y?=?1?:stride?:?wid-size_input+1
????????????
????????????subim_input?=?im_input(x?:?x+size_input-1?y?:?y+size_input-1);
????????????subim_label?=?im_label(x+padding?:?x+padding+size_label-1?y+padding?:?y+padding+size_label-1);

????????????count=count+1;
????????????data(:?:?1?count)?=?subim_input;
????????????label(:?:?1?count)?=?subim_label;
????????end
????end
end

order?=?randperm(count);
data?=?data(:?:?1?order);
label?=?label(:?:?1?order);?

%%?writing?to?HDF5
chunksz?=?2;
created_flag?=?false;
totalct?=?0;

for?batchno?=?1:floor(count/chunksz)
????last_read=(batchno-1)*chunksz;
????batchdata?=?data(::1last_read+1:last_read+chunksz);?
????batchlabs?=?label(::1last_read+1:last_read+chunksz);

????startloc?=?struct(‘dat‘[111totalct+1]?‘lab‘?[111totalct+1]);
????curr_dat_sz?=?store2hdf5(savepath?batchdata?batchlabs?~created_flag?startloc?chunksz);?
????created_flag?=?true;
????totalct?=?curr_dat_sz(end);
end
h5disp(savepath);

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????1771??2015-07-08?11:32??SRCNN\generate_test.m

?????文件???????1769??2015-07-08?11:31??SRCNN\generate_train.m

?????文件????????279??2015-03-17?01:58??SRCNN\modcrop.m

?????文件???????1088??2015-07-01?12:36??SRCNN\Readme.txt

?????文件???????1318??2015-07-01?12:32??SRCNN\saveFilters.m

?????文件???????1478??2015-07-01?11:25??SRCNN\SRCNN_mat.prototxt

?????文件???????1705??2015-07-01?12:27??SRCNN\SRCNN_net.prototxt

?????文件????????566??2015-07-01?11:29??SRCNN\SRCNN_solver.prototxt

?????文件???????2897??2015-06-05?03:14??SRCNN\store2hdf5.m

?????文件?????720054??2015-03-17?01:58??SRCNN\Test\Set14\baboon.bmp

?????文件????1244214??2015-03-17?01:58??SRCNN\Test\Set14\barbara.bmp

?????文件?????263222??2015-03-17?01:58??SRCNN\Test\Set14\bridge.bmp

?????文件?????304182??2015-03-17?01:58??SRCNN\Test\Set14\coastguard.bmp

?????文件?????271526??2015-03-17?01:58??SRCNN\Test\Set14\comic.bmp

?????文件?????228584??2015-03-17?01:58??SRCNN\Test\Set14\face.bmp

?????文件?????543054??2015-03-17?01:58??SRCNN\Test\Set14\flowers.bmp

?????文件?????304182??2015-03-17?01:58??SRCNN\Test\Set14\foreman.bmp

?????文件?????786486??2015-03-17?01:58??SRCNN\Test\Set14\lenna.bmp

?????文件?????786486??2015-03-17?01:58??SRCNN\Test\Set14\man.bmp

?????文件????1179702??2015-03-17?01:58??SRCNN\Test\Set14\monarch.bmp

?????文件?????786486??2015-03-17?01:58??SRCNN\Test\Set14\pepper.bmp

?????文件????1041782??2015-03-17?01:58??SRCNN\Test\Set14\ppt3.bmp

?????文件?????688214??2015-03-17?01:58??SRCNN\Test\Set14\zebra.bmp

?????文件?????786486??2015-03-17?01:58??SRCNN\Test\Set5\baby_GT.bmp

?????文件?????248886??2015-03-17?01:58??SRCNN\Test\Set5\bird_GT.bmp

?????文件?????196730??2015-03-17?01:58??SRCNN\Test\Set5\butterfly_GT.bmp

?????文件?????235254??2015-03-17?01:58??SRCNN\Test\Set5\head_GT.bmp

?????文件?????235350??2015-03-17?01:58??SRCNN\Test\Set5\woman_GT.bmp

?????文件????6887544??2018-02-17?22:20??SRCNN\test.h5

?????文件?????????23??2015-07-01?11:24??SRCNN\test.txt

............此處省略101個文件信息

評論

共有 條評論