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