High pass filter in frequency domain

High pass filter: High pass filter removes the low frequency components that means it keeps high frequency components. It is used for sharpening the image. It is used to sharpen the image by attenuating low frequency components and preserving high frequency components.

1. What is the relationship between high pass filter and low pass filter in frequency domain?
2. What are the steps for filtering in frequency domain?
3. Is the low pass and high pass filtering in spatial domain and frequency domain have the same effect on image?

What is the relationship between high pass filter and low pass filter in frequency domain?

Low pass filter: Low pass filter is the type of frequency domain filter that is used for smoothing the image. It attenuates the high frequency components and preserves the low frequency components. High pass filter: High pass filter is the type of frequency domain filter that is used for sharpening the image.

What are the steps for filtering in frequency domain?

To filter a signal in the frequency domain, first compute the DFT of the input, multiply the result by the sampled frequency response, and finally compute the inverse DFT of the product.

Is the low pass and high pass filtering in spatial domain and frequency domain have the same effect on image?

A low-pass filter attenuates high frequencies and retains low frequencies unchanged. The result in the spatial domain is equivalent to that of a smoothing filter; as the blocked high frequencies correspond to sharp intensity changes, i.e. to the fine-scale details and noise in the spatial domain image.