- Define the filter specifications: Determine the filter order, passband ripple, and stopband attenuation based on your requirements. Choose the cutoff frequency to separate the desired low-frequency components from the high-frequency components.
- Design the Chebyshev Type I filter: Use the “cheby1” function in MATLAB to design the filter. Specify the filter order, passband ripple, and stopband attenuation. Obtain the filter coefficients using:
Chebyshev Type I low pass filter design image filter
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How do i apply chebyshev type I low pass filter to filter an image?
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Accepted Answer
Hari
on 15 Sep 2023
Edited: Hari
on 15 Sep 2023
Hi Abraham,
I understand that you want to apply a Chebyshev Type I low-pass filter to an image. To apply a Chebyshev Type I low-pass filter to filter an image in MATLAB, you can follow these steps:
[b, a] = cheby1(filter_order, passband_ripple, cutoff_frequency, 'low');
3. Read and convert the image to double precision and apply filter on the image.
% Read and convert the image to double precision
image = imread(' your_image.jpg);
image = im2double(image);
% Apply the filter to the image
filtered_image = filter(b, a, image);
By following the above steps, you can apply a Chebyshev Type I low-pass filter to the image, resulting in a filtered image with reduced high-frequency components beyond the cutoff frequency.
Refer to the documentation of “cheby1” function to know more about Chebyshev Type I filter design using MATLAB.
Thanks,
Hari.
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