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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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    提取SIFT特征,进行特征提取和匹配,包括特征点的定位,特征点描述子的生成,特征点的匹配,(extract SIFT feature,and feature matching)
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    本代码比较全面地给出了图像边缘检测常用的各种算法的代码,包括:基于LoG算子边缘检测、基于Canny算子的边缘检测、基于SUSAN算子的边缘检测、基于小波变换模极大值的边缘检测、利用有限冲击响应来提取不同方向边缘、采用灰度形态学膨胀和腐蚀,对图像进行单尺度和多尺度的形态学边缘检测(This code gives a more comprehensive variety of commonly used edge detection algorithm code, including: LoG operator based on edge detection, based on Canny operator edge detection based on SUSAN operator edge detection based on wavelet transform modulus maxima edge detection values ​ ​ using finite impulse response to extract edges in different directions, using grayscale morphological dilation and erosion, the image of the single-scale and multi-scale morphological edge detection)
    2014-06-12 13:55:28下载
    积分:1
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    一个很有用的SAR图片,可用于SAR图像的目标识别(A very useful SAR image can be used for target recognition SAR image)
    2016-12-25 09:36:21下载
    积分:1
  • AGCWD
    來自於2012年IEEE TIP的論文 Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution ,其功能為透過分析影像中的直方圖統計資訊,達到快速增強影像對比的結果。(From the 2012 IEEE TIP paper "Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution"which functions as a histogram of the image by analyzing statistical information, to quickly enhance image contrast.)
    2021-01-27 16:48:42下载
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    2013-11-29 20:29:33下载
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    图像融合中的平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等(Average gradient, correlation coefficient, information entropy, cross-entropy, joint entropy, mean square error, mutual information, signal-to-noise ratio, peak signal-to-noise ratio, root mean square error, spatial frequency, standard deviation, mean, distortion degree, deviation index, etc. in image fusion)
    2019-05-27 08:48:13下载
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