搜索资源列表
matlab程序
- 维纳滤波法去除加有高斯噪声、椒盐噪声、乘性噪声(Wiener filter method to remove the addition of Gaussian noise, salt and pepper noise, multiplicative noise)
matlab程序
- 加高斯噪声后进行不同窗格的维纳滤波和均值滤波(Plus Gaussian noise after a different pane of Wiener filtering and mean filtering)
matlab程序
- 加入乘性噪声和椒盐噪声的图像进行维纳滤波和均值滤波，采用不同窗口看效果(Add the image of multiplicative noise and salt and pepper noise for Wiener filtering and mean filtering, using different windows to see the effect)
matlab程序
- 给图像加入不同的噪声噪声 psnr计算程序(Add a different noise noise to the image. psnr calculation program)
任务程序修改后成品
- MFC界面，可实现图像的缩放，给图像添加高斯噪声，高斯模糊，控件的滚动条事件，Dpi的调节等(MFC interface, you can achieve image scaling, add Gauss noise to the image, Gauss fuzzy, control scroll bar events, Dpi adjustment, etc.)
27.对噪声图像进行滤波仿真
- 对噪声图像的滤波仿真，matlab的例子实现以下功能(The simulation of noise image filtering, matlab example to achieve the following functions)
noise
- 对图片加入高斯噪声和椒盐噪声，输出处理后的图像(Add Gauss noise and salt and pepper noise to the picture)
中值滤波
- 对图像中值滤波，选择清晰的图像，叠加椒盐噪声，然后去噪(The image median filtering, denoising and superposition of the salt and pepper noise.)
pf-noise
- 利用粒子滤波处理噪声，在图像上散列均匀分布白噪声点。需要自行读取图片(The particle filter is used to deal with the noise, and the white noise points are evenly scattered on the image. You need to read the picture yourself)
图像分析.rar
- 可用于图像的基本处理，变换，去噪声等的程序代码，可配套相关图像处理的书籍使用(Can be used for the basic image processing, transformation, noise and other program code, can be matched with related image processing books use)
去噪和直线提取
- 这是一份可以处理图像中的噪声，和对图像进行直线提取的程序代码！(Image denoising, linear edge extraction)
code
- 运用ADMM算法，去除遥感图像中的条带噪声(Removal strip noise from remote sensing images)
地震波程序
- 基于复数域扩散滤波算法的地震图像噪声压制，雷克子波地震模型(Multiplicative Domain Diffusion Filtering Algorithm)
图像频谱分析和滤波
- 对含有噪声的图像进行频谱分析，通过滤波去除随机噪声，通过中值滤波去除椒盐噪声(Spectral analysis of the noisy images removes random noise by filtering and removes salt and pepper noise through median filtering)
4
- 噪声发生器 查找（或开发）将高斯噪声添加到图像的程序。您必须能够指定噪声均值和方差。(1.Noise Generators This is a generic project, in the sense that the programs developed here are used in several of the projects that follow. See Fig. 5.2 for the shapes and parameters of the following nois
实验
- 高斯低通滤波器实现图像去噪，通过去除高频分量来降低图像噪声(Image denoising by Gauss low pass filter and reduction of image noise by removing high frequency components)
Image Filter_v1.2
- 图像滤波,去除噪声，使图像光滑，输出光滑图像(Image filtering to remove noise, make the image smooth, and output a smooth image)
main
- matlab实现的小波降噪声图像处理算法，效果十分好，自己做了调试。(The wavelet reduced noise image processing algorithm realized by Matlab is very effective and has been debugged.)
AverageFiltering
- 用均值滤波方法实现对加入高斯噪声和椒盐噪声的图像进行去噪(The denoising of images with Gauss noise and salt and pepper noise is realized by means of mean filtering.)
图像处理
- 噪声在理论上可以定义为“不可预测，只能用概率统计方法来认识的随机误差”。实际获得的图像一般都因受到某种干扰而含有噪声。引起噪声的原因有敏感元器件的内部噪声、相片底片上感光材料的颗粒、传输通道的干扰及量化噪声等。(In theory, noise can be defined as "unpredictable, random errors that can only be recognized by probability and statistics". The actua