Description: 1.选择一幅图像,利用散焦模型或运动模糊模型对该图像进行模糊处理;利用逆滤波对模糊图像进行复原处理,显示原始图像、模糊图像以及复原处理后的图像。
2.利用迭代算法对模糊图像进行逆卷积复原处理,显示原始图像、模糊图像以及复原处理后的图像。
-1. Select an image, the use of defocusing model or the model of the motion-blurred images fuzzy processing the use of inverse filtering for fuzzy image restoration processing, display the original image, fuzzy images, as well as recovery after treatment images. 2. Use of iterative algorithm for fuzzy image restoration deconvolution processing, show the original image, fuzzy images, as well as recovery after treatment images. Platform: |
Size: 2048 |
Author:syq |
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Description: 自己写的维纳滤波与逆滤波程序,大家可以对比对比这两种滤波器的效果~-Wrote it myself Wiener filtering and inverse filtering process, we can contrast comparing the effect of these two filters ~ Platform: |
Size: 49152 |
Author:风之子 |
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Description: 维纳滤波程序,本程序用matlab 实现仿真,比较了维纳滤波和逆滤波的图像效果-Wiener filtering procedures, the procedures used to achieve matlab simulation, compared the Wiener filtering and inverse filtering of the image Platform: |
Size: 48128 |
Author:郭小寓 |
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Description: 逆滤波图像复原程序,可以根据情况在上面做修改-Inverse filtering image restoration procedure, you can make changes according to the situation in the above Platform: |
Size: 1024 |
Author:lion |
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Description: BACKPROJ uses the filtered or unfiltered backprojection algorithm to perform the inverse Radon transform. The filter is designed directly in the frequency domain and then multiplied by the FFT of the projections. The projections are zero-padded to a power of 2 before filtering to prevent spatial domain aliasing and to speed up the FFT.-BACKPROJ uses the filtered or unfiltered backprojection algorithm to perform the inverse Radon transform. The filter is designed directly in the frequency domain and then multiplied by the FFT of the projections. The projections are zero-padded to a power of 2 before filtering to prevent spatial domain aliasing and to speed up the FFT. Platform: |
Size: 4096 |
Author:Jane |
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Description: 比较反滤波和维纳滤波对一幅图像复原的效果。从两方面出发,一是对运动模糊和均值模糊复原的能力,二是抗噪能力,各种情况分别都进行了对比-Comparison of inverse filtering and Wiener filtering on an image restoration results. Proceed in two ways, first on the motion blur and the mean fuzzy recovery capability and noise immunity, all cases are compared separately Platform: |
Size: 6996992 |
Author:tosh |
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Description: 二维傅里叶变换,对图像进行二维傅里叶变换处理-Two-Dimensional Fast Fourier Transform
The purpose of this project is to develop a 2-D FFT program "package" that will be used
in several other projects that follow. Your implementation must have the capabilities to:
(a) Multiply the input image by (-1)x+y to center the transform for filtering.
(b) Multiply the resulting (complex) array by a real function (in the sense that the
the real coefficients multiply both the real and imaginary parts of the transforms).
Recall that multiplication of two images is done on pairs of corresponding elements.
(c) Compute the inverse Fourier transform.
(d) Multiply the result by (-1)x+y and take the real part.
(e) Compute the spectrum. Platform: |
Size: 1024 |
Author:solo |
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Description: This MATLAB exercise designs and implements a pitch period detector based on detecting and tracking peaks in the autocorrelation of the LPC error signal during regions of voiced speech. The pitch detection procedure is called the SIFT (Simple Inverse Filtering Tracking) method. The SIFT pitch period detector uses a secondary autocorrelation peak in order to detect and correct pitch period detection errors due to effects such as pitch period doubling and related phenomena. Platform: |
Size: 1265664 |
Author:Hashem |
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Description: IDW距离反比加权方法,在matlab R2009b调试通过,GPS和INS组合导航程序,大学数值分析算法,现代信号处理中谱估计在matlab中的使用,对信号进行频谱分析及滤波,包含优化类的几个简单示例程序。- IDW inverse distance weighting method, In matlab R2009b debugging through, GPS and INS navigation program, University of numerical analysis algorithms, Modern signal processing used in the spectral estimation in matlab, The signal spectral analysis and filtering, Optimization class contains several simple sample programs. Platform: |
Size: 5120 |
Author:gugsgqh |
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Description: 一些自适应信号处理的算法,与理论分析结果相比,采用的是脉冲对消法,信号处理中的旋转不变子空间法,IDW距离反比加权方法,滤波求和方式实现宽带波束形成,music高阶谱分析算法,现代信号处理中谱估计在matlab中的使用。- Some adaptive signal processing algorithms, Compared with the results of theoretical analysis, It uses a pulse of consumer law, Signal Processing ESPRIT method, IDW inverse distance weighting method, Filtering summation way broadband beamforming, music higher order spectral analysis algorithm, Modern signal processing used in the spectral estimation in matlab. Platform: |
Size: 5120 |
Author:kqmyxp |
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Description: The aims to give the students the fundamentals of digital image processing,
covering topics from the following list: image models and physical imaging systems;
visual perception; rendering systems; linear filtering; linear transforms; mathematical
morphology; compression; tomographic image reconstruction; inverse problems in
imaging; image enhancement; edge detection; feature extraction; and geometric
diffusion. Platform: |
Size: 31744 |
Author:Khan17
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