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SRCNN-Tensorflow

于 2020-11-28 发布 文件大小:40540KB
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下载积分: 1 下载次数: 29

代码说明:

  SRCNN Superresolution imteplated by tensorflow SRCNN tensorflow 实现(SRCNN Superresolution imteplated by tensorflow)

文件列表:

SRCNN-Tensorflow
SRCNN-Tensorflow\.git
SRCNN-Tensorflow\.gitignore
SRCNN-Tensorflow\.git\branches
SRCNN-Tensorflow\.git\config
SRCNN-Tensorflow\.git\description
SRCNN-Tensorflow\.git\HEAD
SRCNN-Tensorflow\.git\hooks
SRCNN-Tensorflow\.git\hooks\applypatch-msg.sample
SRCNN-Tensorflow\.git\hooks\commit-msg.sample
SRCNN-Tensorflow\.git\hooks\post-update.sample
SRCNN-Tensorflow\.git\hooks\pre-applypatch.sample
SRCNN-Tensorflow\.git\hooks\pre-commit.sample
SRCNN-Tensorflow\.git\hooks\pre-push.sample
SRCNN-Tensorflow\.git\hooks\pre-rebase.sample
SRCNN-Tensorflow\.git\hooks\prepare-commit-msg.sample
SRCNN-Tensorflow\.git\hooks\update.sample
SRCNN-Tensorflow\.git\index
SRCNN-Tensorflow\.git\info
SRCNN-Tensorflow\.git\info\exclude
SRCNN-Tensorflow\.git\logs
SRCNN-Tensorflow\.git\logs\HEAD
SRCNN-Tensorflow\.git\logs\refs
SRCNN-Tensorflow\.git\logs\refs\heads
SRCNN-Tensorflow\.git\logs\refs\heads\master
SRCNN-Tensorflow\.git\logs\refs\remotes
SRCNN-Tensorflow\.git\logs\refs\remotes\origin
SRCNN-Tensorflow\.git\logs\refs\remotes\origin\HEAD
SRCNN-Tensorflow\.git\objects
SRCNN-Tensorflow\.git\objects\info
SRCNN-Tensorflow\.git\objects\pack
SRCNN-Tensorflow\.git\objects\pack\pack-dbd6a604e1866e91edabf7286692f0cef22a1343.idx
SRCNN-Tensorflow\.git\objects\pack\pack-dbd6a604e1866e91edabf7286692f0cef22a1343.pack
SRCNN-Tensorflow\.git\packed-refs
SRCNN-Tensorflow\.git\refs
SRCNN-Tensorflow\.git\refs\heads
SRCNN-Tensorflow\.git\refs\heads\master
SRCNN-Tensorflow\.git\refs\remotes
SRCNN-Tensorflow\.git\refs\remotes\origin
SRCNN-Tensorflow\.git\refs\remotes\origin\HEAD
SRCNN-Tensorflow\.git\refs\tags
SRCNN-Tensorflow\checkpoint
SRCNN-Tensorflow\LICENSE
SRCNN-Tensorflow\main.py
SRCNN-Tensorflow\model.py
SRCNN-Tensorflow\README.md
SRCNN-Tensorflow\result
SRCNN-Tensorflow\result\bicubic.png
SRCNN-Tensorflow\result\orig.png
SRCNN-Tensorflow\result\srcnn.png
SRCNN-Tensorflow\sample
SRCNN-Tensorflow\Test
SRCNN-Tensorflow\Test\Set14
SRCNN-Tensorflow\Test\Set14\baboon.bmp
SRCNN-Tensorflow\Test\Set14\barbara.bmp
SRCNN-Tensorflow\Test\Set14\bridge.bmp
SRCNN-Tensorflow\Test\Set14\coastguard.bmp
SRCNN-Tensorflow\Test\Set14\comic.bmp
SRCNN-Tensorflow\Test\Set14\face.bmp
SRCNN-Tensorflow\Test\Set14\flowers.bmp
SRCNN-Tensorflow\Test\Set14\foreman.bmp
SRCNN-Tensorflow\Test\Set14\lenna.bmp
SRCNN-Tensorflow\Test\Set14\man.bmp
SRCNN-Tensorflow\Test\Set14\monarch.bmp
SRCNN-Tensorflow\Test\Set14\pepper.bmp
SRCNN-Tensorflow\Test\Set14\ppt3.bmp
SRCNN-Tensorflow\Test\Set14\zebra.bmp
SRCNN-Tensorflow\Test\Set5
SRCNN-Tensorflow\Test\Set5\baby_GT.bmp
SRCNN-Tensorflow\Test\Set5\bird_GT.bmp
SRCNN-Tensorflow\Test\Set5\butterfly_GT.bmp
SRCNN-Tensorflow\Test\Set5\head_GT.bmp
SRCNN-Tensorflow\Test\Set5\woman_GT.bmp
SRCNN-Tensorflow\Train
SRCNN-Tensorflow\Train\t1.bmp
SRCNN-Tensorflow\Train\t10.bmp
SRCNN-Tensorflow\Train\t11.bmp
SRCNN-Tensorflow\Train\t12.bmp
SRCNN-Tensorflow\Train\t13.bmp
SRCNN-Tensorflow\Train\t14.bmp
SRCNN-Tensorflow\Train\t15.bmp
SRCNN-Tensorflow\Train\t16.bmp
SRCNN-Tensorflow\Train\t17.bmp
SRCNN-Tensorflow\Train\t18.bmp
SRCNN-Tensorflow\Train\t19.bmp
SRCNN-Tensorflow\Train\t2.bmp
SRCNN-Tensorflow\Train\t20.bmp
SRCNN-Tensorflow\Train\t21.bmp
SRCNN-Tensorflow\Train\t22.bmp
SRCNN-Tensorflow\Train\t23.bmp
SRCNN-Tensorflow\Train\t24.bmp
SRCNN-Tensorflow\Train\t25.bmp
SRCNN-Tensorflow\Train\t26.bmp
SRCNN-Tensorflow\Train\t27.bmp
SRCNN-Tensorflow\Train\t28.bmp
SRCNN-Tensorflow\Train\t29.bmp
SRCNN-Tensorflow\Train\t3.bmp
SRCNN-Tensorflow\Train\t30.bmp
SRCNN-Tensorflow\Train\t31.bmp
SRCNN-Tensorflow\Train\t32.bmp

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  • canny
    canny边缘检测的步骤: 1,生成高斯核,与图像做卷积 2,计算梯度图像 3,非极大值抑制 4,双阈值法和连接边缘(Canny edge detection steps: 1, Generate Gaussian kernel, convolution with the image 2, calculate the gradient image 3, non-maximal inhibition 4, double threshold method and connect the edge)
    2017-11-28 19:31:27下载
    积分:1
  • meng_cv
    chan-vese几何活动轮廓提取 讲物体的裂痕非常精准的提取出来 非常经典的并且最新的代码 可供参考 (chan-vese geometric active contour extraction rift speak very precise object extracted from a very classic and the latest code for reference)
    2013-09-15 15:09:47下载
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    本程序实现了对影像特征点自动提取,利用Morevac、Forstner、Harris3个经典算子。在此基础上利用相关系数法实现影像自动匹配,并且引入最小二乘平差,使匹配点精度有所提高。 在搜索点过程中,利用了核线影像特性,对二维影像搜索使用了爬山法启发式搜索。对大数据量影像采用影像金字塔结构处理。 1、使用GDAL库读取影片,支持TIFF、PNG、JPEG、JPG、BMP、GIF、IMG格式读取。使用GDI绘图。 2、防止大数据量绘图视图闪烁,图片显示采用双缓存技术。 3、保存视图数据为图片文件,支持TIFF、PNG、JPEG、JPG、BMP、GIF格式保存。 4、TreeCtrl控件、ListCtrl控件的基本操作。 5、MFC单文档程序视图通讯、更换视图、视图分割。(This program of image features automatic extraction point, use Morevac, Forstner, Harris3 a classic operator. Based on the correlation coefficient method using the image matching, realization and introducing least squares adjustment, the matching point to improve precision. In the search process, the use of the image characteristics of nuclear line, 2d image search using the heuristic method of climbing. For large quantity of data using image processing image pyramid structure. 1, using film, read GDAL repository support JPEG, TIFF, PNG, GIF, BMP, JPG, read IMG format. Use GDI drawing. 2 and prevent large amount of data, drawing view pictures showed adopt double caching techniques. 3, save for the image file, views data support JPEG, TIFF, JPG, PNG, GIF, BMP format. 4 and TreeCtrl controls, the basic operation ListCtrl controls. 5 and MFC single document procedure view communication, replace view, view.)
    2010-05-22 00:46:30下载
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    2011-05-05 09:26:02下载
    积分:1
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    一个很不错的指纹分析算法源代码,可以从采集的指纹图片中进行二次黑白化,平滑图像处理。可以对指纹图像特征信息提取,比对,以轮廓显示以及色彩覆膜特显等技术算法。主要的分析速度很快,值得学习的算法。要在指纹信息处理中比较不错,本站隆重推荐。(A very good fingerprint analysis algorithm source code, from the collection of fingerprint images, the second black and white, smooth image processing. Fingerprint image feature information extraction, compared to the contour display and color coated special significant technical algorithm. Analysis fast, it is worth learning algorithm. Fingerprint information processing site is highly recommended.)
    2012-08-10 14:55:22下载
    积分:1
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    2016-04-19 14:44:54下载
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    2013-08-05 16:19:41下载
    积分:1
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    2014-10-21 21:30:16下载
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    利用图像二值化方法对图像进行调幅加网,本程序实现了45度角度的调幅加网算法。(Use of the image binarization method of images in AM screening, the program achieved a 45 degrees angle of AM screening algorithm.)
    2021-04-28 13:08:43下载
    积分:1
  • 原码
    一个很实用图象处理原码(a practical source image processing)
    2004-09-07 10:38:48下载
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