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图像频率域分析,包含低通,带通和同态滤波函数,非常值得参考。-Image frequency domain analysis, including low-pass, band pass filtering function and with the state, is worth considering.
Date : 2025-12-13 Size : 6kb User : gillyamylee

虚拟仪器的信号分析与处理 4.1 信号的时域分析(Time Domain) 4.2 信号频域分析(Frequency Domain) 4.3 信号的加窗(Windows)处理 4.4 信号的滤波(IIR、FIR) 4.5 信号产生与仿真 -Virtual Instruments Signal Analysis and Processing 4.1 signals in time domain analysis (Time Domain) 4.2 signal frequency domain (Frequency Domain) 4.3 Signal Window (Windows) 4.4 signal processing filter (IIR, FIR) 4.5 Signal Generation and Simulation
Date : 2025-12-13 Size : 1.18mb User :

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 - 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
Date : 2025-12-13 Size : 5kb User : engineer

3 fisrt parts are: Download the file Square.tif and answer the following questions: i. Smooth the image with a 3 􀵈 3 spatial filter. ii. Smooth the image with an implementation of Gaussian filter in frequency domain. Change the bandwidth of the filter and show how these changes affect the result.-3 fisrt parts are: Download the file Square.tif and answer the following questions: i. Smooth the image with a 3 􀵈 3 spatial filter. ii. Smooth the image with an implementation of Gaussian filter in frequency domain. Change the bandwidth of the filter and show how these changes affect the result.
Date : 2025-12-13 Size : 286kb User : ghazal

The final weight matrix is ??the filter coefficient, Correlation diagram shown in detail the time domain and frequency domain, Consider shadow rain attenuation and multipath effect.
Date : 2025-12-13 Size : 7kb User : fiufaikan
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