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Image Enhancement. Takes lenna image as input, applies low pass filter, median filter, weighted and center weighted median filter. Plots the output for each image
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基于Matlab的低通滤波器的设计源码，可以通过此代码，模拟低通滤波器的设计。并附有仿真后的图像。-Matlab low pass filter based on the design of source code, can this code, analog low-pass filter design. Together with simulation, the image.
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对原图分别在频域内使用理想低通滤波器（选择任意截止频率）和理想高通滤波器（选择任意截止频率）和理想高通滤波器，再对其使用快速傅里叶变换，并输出修复后的图像的频率谱图。最后将高通滤波与低通滤波后的相加，输出，并与原图进行比较。-Respectively of the original image in the frequency domain using the ideal low-pass filter (choose an arbitrary cut-off frequency) and th
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在一張低對比度的影像(image_1.bmp)，請針對這張影像實現同態濾波(homomorphic)高斯高通濾波器的演算法-Homomorphic filtering (homomorphic) Gaussian high pass filter algorithm for this image in a low-contrast the image (image_1.bmp)
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simple image inpainting using low pass filter. The file removes red text for the image.
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low pass filter that applaied on image
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matlab对一幅图像，采用半径值为20、80、200的截止频率进行理想低通滤波，观察其结果。要求给出原图像及相应的付利叶频谱图和滤波结果-For an image, using the radius value of the cutoff frequency 20,80,200 ideal low-pass filter to observe the results. Required to give the original image and the corresponding Fouri
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信号处理，用滤波窗口函数进行低通滤波，绘制图像-Signal processing, low-pass filtering, using filter window function to draw the image
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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)
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将图像傅里叶变换，然后利用高斯、巴特沃斯、理想滤波器实现图像高频成份和低频成份的分离。(The image Fu Liye transform is applied, then the Gauss high pass lowpass filter is used to achieve the separation of high-frequency components and low frequency components.)
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线性低通滤波器最常用的是线性平滑滤波器，这种滤波器的所有系数都是正的，也称邻域平均。邻域平均减弱或消除了傅立叶变换的高频分量，对噪声的消除有所增强，但是由于平均而使图像变得更为模糊，细节的锐化程度逐渐减弱。
下面使用不同的平滑模板对图像进行滤波：（二维线性滤波fliter2）(The most commonly used linear low-pass filter is the linear smoothing filter, which has all the positive coeff
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