登录
首页 » matlab » denoise

denoise

于 2019-06-06 发布
0 220
下载积分: 1 下载次数: 7

代码说明:

说明:  采用自适应非局部降噪的算法对图像进行去噪处理,能够实现不同算法的降噪处理(Using adaptive non-local denoising algorithm to denoise image can achieve denoising processing of different algorithms.)

文件列表:

noise-adaptive-switching-non-local-means-master, 0 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM, 0 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\ACWMF.m, 1365 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\DBA.m, 2221 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\MAE.m, 409 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\MSE.m, 404 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\NAFSM.m, 1894 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\NASEPF.m, 3311 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\NASNLM.m, 4796 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\PSNR.m, 416 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\SNR.m, 445 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\baboon512.bmp, 263224 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\barbara128.bmp, 17464 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\barbara256.bmp, 66614 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\barbara512.bmp, 263224 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\barbara64.bmp, 5176 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\bridge128.bmp, 17464 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\bridge256.bmp, 66616 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\bridge64.bmp, 5176 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\cameraman256.bmp, 66616 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\couple256.bmp, 66614 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\dog256.bmp, 66616 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\goldhill512.bmp, 263224 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\lena128.bmp, 17464 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\lena256.bmp, 66616 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\lena512.bmp, 263224 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\lena64.bmp, 5176 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\manmade128.bmp, 17464 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\manmade256.bmp, 66616 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\manmade64.bmp, 5176 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\output, 0 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\output\0.bmp, 66614 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\output\1.bmp, 66614 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\output\1_MF.bmp, 66614 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\output\2_ACWMF.bmp, 66614 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\output\3_DBA.bmp, 66614 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\output\4_NAFSM.bmp, 66614 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\output\5_NASEPF.bmp, 66614 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\output\6_NASNLM.bmp, 66614 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\output\result.xls, 13824 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\peppers128.bmp, 17464 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\peppers256.bmp, 66616 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\peppers512.bmp, 263224 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\peppers64.bmp, 5176 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\ssim_index.m, 5960 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\start.m, 3383 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\zebra128.bmp, 23096 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\zebra256.bmp, 89144 , 2016-04-20
noise-adaptive-switching-non-local-means-master\NASNLM\zebra64.bmp, 6712 , 2016-04-20
noise-adaptive-switching-non-local-means-master\README.md, 963 , 2016-04-20

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • SSIM
    一个十分有用的SSIM图像评测程序,基于结构的客观评测。(A very useful measure SSIM image procedures, based on the structure of an objective evaluation.)
    2009-03-23 16:18:43下载
    积分:1
  • rawelroperty
    Matlab入门级图像处理程序 低通滤波器对受噪声干扰的图像进行平滑处理,(Matlab entry-level image processing low-pass filter to smooth the image by noise,)
    2017-05-16 12:46:17下载
    积分:1
  • opencvorb
    利用Orb算法实现图像特征点的提取,并且通过前后两帧之间的特征点进行特征匹配,为视频稳像、图像融合以及图像识别提供前提条件。(Detecting feature points using Orb algorithm, then matching the points with the detected points frames.That method provide one new way to video stablization ,image fusion and image recognition etc. )
    2015-08-22 11:29:26下载
    积分:1
  • LBP算法程序
    MATLAB提取LBP纹理特征源码,可以使用(extract LBP texture features source code in MATLAB, you can run this program directly)
    2021-04-14 09:08:55下载
    积分:1
  • beziercurve
    Bezier curve creation and plotting with fortran, greek .docs
    2009-12-02 07:38:59下载
    积分:1
  • smartcar_image
    智能车程序 用于图像采集,处理等~~~~~~~~~~~~~~(smartcar programme)
    2009-04-15 10:01:52下载
    积分:1
  • LD24_SlimeWorld_ProjectFile
    好东西,下下来看就知道了好东西,下下来看就知道了(Good things, under the terms of the next good thing to know, under the circumstances of view to know)
    2013-11-18 08:52:20下载
    积分:1
  • inverse.tar
    通过对图像进行逆透视变化,得到图像的俯视图,即鸟瞰图(Through the inverse perspective change of the image, we can get the top view of the image, that is aerial view.)
    2018-05-23 16:01:03下载
    积分:1
  • Standardimagelibrary
    说明:  标准图像库,里面有国际上通用的标准图像,用于图像处理(Standard image library, which has a common international standard image)
    2010-04-26 22:32:43下载
    积分:1
  • knn
    knn k近邻算法,可选择欧式距离或者曼哈顿距离(knn k nearest neighbor, Euclidean distance or Manhattan can choose the distance)
    2008-08-25 16:24:22下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载