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给图像加椒盐和高斯噪声,以及空域滤波(中值和均值滤波)!-to Image pretzels and Gaussian noise, and the spatial filter (mean values and filter)!
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现有三幅图像,图像1是包装瓶中的气泡图片,图像2是印刷电路板的元器件焊接质量检查图,图像3是封装后的胶囊状药品。实验要求从这三幅图片中,
1. 选择一副图像,并叠加零均值高斯噪声,分别利用均值滤波和中值滤波器对该有噪图像进行滤波,显示滤波后的图像,比较两滤波器的滤波效果。
2. 选择一副图像,并叠加椒盐噪声,分别用均值滤波器,中值滤波器对该图像进行滤波,比较滤波器的滤波效果。
3. 选择一幅图像,分别利用Laplacian算子和Sobel算子对图像进行锐化操作,比较锐化的效果。-Th
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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 ,
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NAME:
bpass
PURPOSE:
Implements a real-space bandpass filter which suppress
pixel noise and long-wavelength image variations while
retaining information of a characteristic size.
CATEGORY:
Image Processing
CALLING SEQUENCE
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对噪声影响的图像进行高斯低通,拉普拉斯,梯度算子等空域滤波-Noise impact on the image for various spatial filter
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Decompose image into subbands, denoise using BLS-GSM method, and recompose again.
fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig)
im: image
Nsc: number of scales
filter: type of filter used (see namedFilt
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noise removal using spatial filter
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Abstract—2×2 unitary precoding based on receiver feedback
is applied alongside spatial multiplexing at the base station in
HSDPA (D-TxAA) when the mobile terminal supports MIMO
transmissios [1]. This precoding will influence achievable sumrate
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⑴编程实现直方图均衡化
⑵设计完成同态滤波器,并用之改善图象质量。
⑶对某图像加入不同类型﹑不同强度的噪声(周期﹑椒盐噪声),并分别用空间域和频率域的方法抑制噪声。
-⑴ ⑵ programming histogram equalization filter design is completed with the state and used to improve the image quality. ⑶ image of a different intensity with di
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QR码作为一种可高速、全方位识别的二维条码,已经在各行各业中得到了应用,并具有很大发展潜力.本文针对QR码图像的识别过程中可能遇到的图像噪声干扰、QR码占实际拍摄图像的一部分、倾斜、几何失真等问题进行了研究,提出了通过改进型中值滤波去除噪声,使用QR码符号特性定位并对倾斜图像进行旋转,对失真不严重的图像采用控制点变换和双线性插值方法进行几何校正.实验证明, 本文的方法简单有效, 可以用于提高条码的正确识别率.-As a high-speed, full identification of th
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滤波:高低通滤波器,空间滤波器,浮雕滤波器,2-D卷积滤波,fspecial函数,加噪处理,-Filter: low pass filter, spatial filter, filter relief ,2-D convolution filter, fspecial function, noise handling,
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Objectives:
The main objectives of this project:
1. Enhancement using spatial domain approach.
2. Effects of filter size, noise type and level, and repeated application.
3. Performance of Image Averaging Technique.-Objectives:
The main obje
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image enhancement technique for removing noise from images using different filter methods.
very useful for spatial domain image enhancement technique-image enhancement technique for removing noise from images using different filter methods.
very
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详细说明:
读入图像,对于图像进行高斯高通以及低通滤波,显示结果,与原图进行对比-Detail: ch5_1_1: image gray-scale linear transformation (5.1.1) ch5_1_2: image grayscale piecewise linear transformation (5.1.1) ch5_1_3: using the transfer function of the number of forms of dynamic range c
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详细说明:
ch5_1_1: 图像灰度线性变换 (§5.1.1)
ch5_1_2: 图像灰度分段线性变换 (§ 5.1.1) ch5_1_3: 采用对数形式的变换函数进行动态范围压缩 (§5.1.1)
ch5_1_4: 图像直方图的均衡化 (§5.1.2) ch5_1_5: 直方图规定化 (§5.1.2)
ch5_2_1: 邻域平均的线性平滑滤波法实现降噪 (§5.2.2)
ch5_2_2: winner滤波法实现降噪 (§5.2.2) ch5_2_3: 中值滤
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本展示程式,采用Borland C++ Builder编译器开发,
参考书籍为
Digital Image Processing, Prentice Hall, 2002. (2nd edition)
具备功能如下:
空间域处理 Spatial domain proc..
灰阶值转换 Gray Level Trans..
遮罩型滤波器 Spatial Filter
统计型滤波器 Statistics Filter
梯度运算
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FPGA IMPLEMENTATION OF CIRCULAR
SPATIAL FILTER UNDER HIGH NOISE
VARIANCE CONDITIONS
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非线性空域图像滤波器,采用窗口极值法检测噪声点,并用窗口内信号点中值代替噪声点输出。-Nonlinear spatial image filter, using the window extremum point assay noise and signal points with the value of the window instead of the noise point output.
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1. image degradation by salt and pepper noise
2. noise removing by median filter
3. image smoothing by averaging filter
4. Max and Min filters implementation
-1. image degradation by salt and pepper noise
2. noise removing by median filt
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掌握空间滤波
学会对图像的空间变换
用滤波器祛除图象噪声
空间噪声滤波器
用滤波器祛除图象噪声-Grasp the spatial filtering
Institute of image space transformation
With a filter to remove the image noise
Spatial noise filter
With a filter to remove the image noise
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