Image filtering in Frequency domain

•For an image, the output of the 2D Fourier Transform is the representation of  the image ________, while the input image is the real space equivalent.

• Special domain

• in frequency space

• Pixel domain

Separating low/high frequency components from image is performed more efficiently with_______

• spacial domain filtering

• frequency domain filtering

The ______performed by multiplying image in frequency domain with the filter.

• spacial domain filtering

• frequency domain filtering

The ______performed by convolution of image with the filter.

• spacial domain filtering

• frequency domain filtering

The following image is the output of _______

• low pass filter

• high pass filter

• band pass filter

this figure is the result of multiplying image DFT magnitude with_

• Low pass filter

• high pass filter

• median filter

In the field of Image Processing, Ideal Lowpass Filter (ILPF) is used for image smoothing in the frequency domain. It removes high-frequency noise from a digital image and preserves low-frequency components.

• True

• False

if we apply ideal low pass filter to this image we will get

• 
• 
• 

if we apply Butterworth low pass filter to this image we will get

• 
• 
• 

To remove noise from this image we need

• Low pass filter

• high pass filter

• band pass filter