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  1. speckle-noise-detect

    0下载:
  2. SAR图像斑点噪声是一个影响SAR图像处理的重要因素,这里提供了斑点噪声滤除的几种方法-SAR images speckle is a SAR image processing effects of the important factors, here to provide a speckle reduction in several ways
  3. 所属分类:图形图像处理(光照,映射..)

    • 发布日期:2008-10-13
    • 文件大小:2453
    • 提供者:张璇
  1. srad

    0下载:
  2. SRAD filetr for speckle reduction .This filter is a variant of anisotropic diffusion which successfully removes speckle type noise from images.
  3. 所属分类:图形图像处理(光照,映射..)

    • 发布日期:2008-10-13
    • 文件大小:877
    • 提供者:li
  1. Speckle Reducing Anisotropic Diffusion

    1下载:
  2. 基于各向异性扩散方程的一款经典的SAR图像相干斑噪声抑制的算法实现,可以直接用的,效果很好!-Anisotropic diffusion equation based on a classic SAR image speckle noise reduction algorithm can be directly used, very good!
  3. 所属分类:图形图像处理(光照,映射..)

    • 发布日期:2013-06-05
    • 文件大小:574071
    • 提供者:陈少波
  1. RFcarotid

    1下载:
  2. Yu s 提出的SRAD模型中所用仿真血管超声波(ultrasound)程序.修改底图和参数可以生成自己的超声波仿真图象.感谢源程序作者Zhang fang(论文Nonlinear Diffusion in Laplacian Pyramid Domain for Ultrasonic Speckle Reduction的作者)-this program simulate US RF data of a carotid artery model using Yu s RF data simu
  3. 所属分类:Special Effects

    • 发布日期:2017-03-30
    • 文件大小:1982
    • 提供者:li
  1. 000_Speckle_reducing_anisotropic_diffusion

    0下载:
  2. 斑点抑制各向异性扩散方法,是对传统ANDI方法的扩展,是处理斑点图像有代表性的文章之一。-Speckle Reduction anisotropic diffusion method is an extension of traditional methods ANDI, is dealing with spot images of representative articles.
  3. 所属分类:Special Effects

    • 发布日期:2017-04-06
    • 文件大小:476142
    • 提供者:郭文
  1. SRAD

    1下载:
  2. 斑点去噪各向异性扩散,该方法在存在相干斑噪声的情况下,能够有效地抑制过分割和在区域边界进行目标边缘的准确-Speckle reduction anisotropic diffusion
  3. 所属分类:Special Effects

    • 发布日期:2017-04-01
    • 文件大小:559724
    • 提供者:HYC
  1. Investigating-Methods-of-the-Noise-Reduction-in-S

    0下载:
  2. This paper analyses impact of using averaging filtering on quality of SAR images. These are commonly corrupted by multiplicative complex correlated noise (speckle) and by additive white Gaussian noise. Methods presented in this paper: multilook a
  3. 所属分类:Special Effects

    • 发布日期:2017-03-23
    • 文件大小:698146
    • 提供者:yas
  1. lee-SAR

    1下载:
  2. 一种保持散射特性的极化SAR斑点抑制算法,Lee的基于散射模型降斑算法.-Keep the scattering properties of polarimetric SAR Speckle Reduction Algorithm Based on Lee' s scattering model Despeckling for.
  3. 所属分类:Special Effects

    • 发布日期:
    • 文件大小:136589
    • 提供者:常卜水
  1. AMA_denoising

    0下载:
  2. matlab 与C混编,通过交替最小化方法求解乘性噪声模型,利用了shifting技术。-Written by H. Woo and S. Yun, the corresponding paper is "Alternating minimization algorithm for speckle reduction with a shifting technique"
  3. 所属分类:Special Effects

    • 发布日期:2017-03-30
    • 文件大小:168463
    • 提供者:聂祥丽
  1. US-denoising-and-segment

    5下载:
  2. 关于超声图像散斑噪声去除(基于非局部均值的快速滤波算法)和超声心动图的分割(基于变分水平集)-This code is concerning with the Speckle reduction(accelerated algorithm based on non-local mean filtering) and the segment of image(based on level set)
  3. 所属分类:图形图像处理(光照,映射..)

    • 发布日期:2016-11-08
    • 文件大小:4319267
    • 提供者:彭飞
  1. NSRfilter

    1下载:
  2. 关于散斑噪声去除的很多种去噪方法,其中还包含现在很流行的一些去散斑噪声方法。-This package contain several filter algorithms for speckle reduction in ultrasound images or SAR images.
  3. 所属分类:Special Effects

    • 发布日期:2017-04-24
    • 文件大小:80279
    • 提供者:彭飞
  1. ENL

    0下载:
  2. usefull function to calculat ENL in SAR image denoising ,we computed the equivalent number of looks (ENL), a standard parameter widely used in the remote sensing community which measures the speckle reduction in homogeneous areas. with some SAR i
  3. 所属分类:2D Graphic

    • 发布日期:2017-05-07
    • 文件大小:1230490
    • 提供者:nanolilou
  1. paper1

    0下载:
  2. A new multiscale Bayesian algorithm for speckle reduction in medical ultrasound images
  3. 所属分类:Graph program

    • 发布日期:2017-05-03
    • 文件大小:847420
    • 提供者:li
  1. Lee filter for speckle noise reduction

    1下载:
  2. 在自适应中值滤波的基础上,采用均值与方差得到一个阈值,来判断极值点是不是噪声点!(On the basis of adaptive median filtering, a threshold is obtained by means of mean and variance to determine whether the extreme point is a noise point!)
  3. 所属分类:图形图象

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