Description: 数字图像理想低通滤波器，只要修改把大于号改成小于号就可实现高通滤波器-digital image ideal low-pass filter, as long as the changes has been replaced by greater-than, less than can be achieved high pass filter Platform: |
Size: 992 |
Author:xiaoha |
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Description: 理想低通滤波,最后显示处理结果.
直接解压后将图片和程序放在同一个文件夹里.-ideal low-pass filter, the final results showed. Photo will be directly extracted and procedures on the same document folder. Platform: |
Size: 28672 |
Author:洋 |
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Description: 数字图像理想低通滤波器，只要修改把大于号改成小于号就可实现高通滤波器-digital image ideal low-pass filter, as long as the changes has been replaced by greater-than, less than can be achieved high pass filter Platform: |
Size: 1024 |
Author:xiaoha |
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Description: 使用傅立叶变换对图像的条纹噪声进行滤除，分别使用了理想低通滤波、巴特沃兹低通滤波和高斯低通滤波进行处理-The use of Fourier transform on the image to filter out the noise of the stripes, respectively, using an ideal low-pass filtering,巴特沃兹Gaussian low-pass filtering and low pass filter to deal with Platform: |
Size: 135168 |
Author: |
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Description:
ch10_1_1：利用函数imfilter实现图像滤波（§10.1.3）
ch10_2_1：利用频率变换法生成一个2-D滤波器（§10.2.2）
ch10_2_2：利用频率采样法生成一个2-D滤波器（§10.2.3）
ch10_2_3：利用窗口法生成一个2-D滤波器（§10.2.4）
ch10_2_4：设计一个截止频率为0.5的理想低通滤波器（§10.2.5）
-ch10_1_1: the use of function imfilter realize image filtering (§ 10.1.3) ch10_2_1: use of frequency transformation method to generate a 2-D filters (§ 10.2.2) ch10_2_2: the use of the frequency sampling method to generate a 2-D filter (§ 10.2. 3) ch10_2_3: use the window method to generate a 2-D filters (§ 10.2.4) ch10_2_4: to design a cut-off frequency of 0.5 the ideal low-pass filter (§ 10.2.5) Platform: |
Size: 1024 |
Author:sherman1944 |
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Description: 使用VTK写的图像处理程序,理想低通滤波与理想高通滤波-VTK written using image processing procedures, the ideal low-pass filter with the ideal high-pass filtering Platform: |
Size: 116736 |
Author:yefeng |
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Description: 首先介绍了图像中噪声的产生及与图像信号相关的噪声的分类，然后分别讨论了用于图象平滑去噪的空间域平滑处理：高斯滤波，超值像素滤波、中值滤波，和频率域平滑处理：理想低通滤波和Butterworth低通滤波处理。继而介绍了各种处理方法的程序实现，并对各种方法的去噪性能进行了比较。-this program introduce the generation ofimage noise and associated noise classification with the image signal , and then discussed separately for the spatial domain image denoising smoothing: Gaussian filtering, pixel value filtering, median filtering, and frequency of domain smoothing: an ideal low-pass filter and Butterworth low-pass filtering. Then describes the procedures for implementation of various treatment methods, and de-noising performance of various methods were compared. Platform: |
Size: 4809728 |
Author:YEBIQING |
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Description: 数字图像处理中的滤波和傅里叶压缩，包括理想低通滤波器，巴特沃茨高通滤波器，高斯带通滤波器，高斯带阻滤波器，FFT图像压缩。附原图像和处理后的图像截图。-Digital image processing in filtering and Fourier compression, including the design of an ideal low-pass filter, design Batewoci high-pass filter, bandpass filter design Gaussian, Gaussian band stop filter, FFT image compression. Attached to the original image and processed image capture. Platform: |
Size: 272384 |
Author:刘雨相 |
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Description:
Image Processing: Frequency Domain Enhancement
Generate noisy versions of the cameraman image by adding noise with the following characteristics:
Uniform with mean 40 and standard deviation 20
Gaussian of mean 40 and standard deviation 20
Salt and pepper noise density of 10 percent
Filter the resulting noisy images using:
1. Ideal low pass
with the following values of ro: 50, 30, and 20
2. Butterworth filters
with the following values of ro: 50, 30, and 20
3. Gaussian filters
with the following values of sigma: 30, 20, and 10
Show and label the magnitude spectra of your filters for all the above cases
Show noisy and filtered images for all the above cases
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Image Processing: Frequency Domain Enhancement
Generate noisy versions of the cameraman image by adding noise with the following characteristics:
Uniform with mean 40 and standard deviation 20
Gaussian of mean 40 and standard deviation 20
Salt and pepper noise density of 10 percent
Filter the resulting noisy images using:
1. Ideal low pass
with the following values of ro: 50, 30, and 20
2. Butterworth filters
with the following values of ro: 50, 30, and 20
3. Gaussian filters
with the following values of sigma: 30, 20, and 10
Show and label the magnitude spectra of your filters for all the above cases
Show noisy and filtered images for all the above cases
Platform: |
Size: 5120 |
Author:engineer |
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Description: 利用MATLAB进行图像滤波技术，包含理想低通，高通滤波器和巴特沃思低通，高通滤波器的设计-Using MATLAB for image filtering techniques, including the ideal low-pass, high pass filter and Butterworth low-pass, high pass filter design Platform: |
Size: 1024 |
Author:marui |
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Description: 1. 用imoise()函数给一幅数字图像加入’salt & pepper’和’Gaussian’噪声2）用3x3,5x5邻域平均平滑对图像进行处理3）用3x3,5x5中值滤波对图像进行处理，
2. 对一幅数字图像采用理想低通、Butterworth低通 、Gaussian低通滤波器进行平滑；对一幅数字图像采用理想高通、Butterworth高通 、Gaussian高通滤波器进行平滑。-1. With imoise () function to a digital image by adding ' salt & pepper' and ' Gaussian' noise 2) 3x3, 5x5 neighborhood average smoothing of the image processing 3) 3x3, 5x5 median filter for image processing , 2. on a digital image with an ideal low-pass, Butterworth low-pass, Gaussian smoothing low pass filter on a digital image using the ideal high-pass, Butterworth high-pass, Gaussian smoothing high-pass filter. Platform: |
Size: 2048 |
Author:toilet |
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Description: 图像频域增强,频域低通滤波所产生的模糊,理想低通过滤波器所产生的模糊和振铃现象-Frequency-domain image enhancement, fuzzy frequency domain generated by the low-pass filtering, blurring and ringing the ideal low-pass filter is generated Platform: |
Size: 1024 |
Author:app |
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Description: 这是理想低通滤波器对图像进行滤波，包含滤波器的行数以及傅里叶逆变换-This is an ideal low pass filter for filtering the image, the number of rows including a filter and inverse Fourier transform Platform: |
Size: 6144 |
Author: |
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Description: 此文件一共包含3个m文件。第一个文件的功能是绘制一个二值图像，并显示其傅立叶幅度谱。文件2功能是设计频域理想低通滤波器，并加以验证：读入一个二值图像(cameraman.tif)加噪声后在频域进行低通滤波观察滤波后的图像效果。文件3的功能是对图像eight.tif加入椒盐噪声后，实现Butterworth低通滤波.-This file contains 3 m documents. Functions of first file is to draw a binary image, and displays its Fourier amplitude spectrum. Document 2 is designed to function a frequency domain ideal low-pass filter , and verified it: reading a binary image (cameraman.tif) plus noise on it and smoothing it in the frequency domain using low-pass filtering.The filtered effect will be observed by displaying image.Document 3 is designed to read a binary image(eight.tif) and add salt and pepper noise on it, realized frequence domain Butterworth low-pass filter. Platform: |
Size: 1024 |
Author:唐欢 |
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