# Welcome to the Filtering in Frequency Domain MCQs Page

Dive deep into the fascinating world of Filtering in Frequency Domain with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Filtering in Frequency Domain, a crucial aspect of Digital Image Processing (DIP). In this section, you will encounter a diverse range of MCQs that cover various aspects of Filtering in Frequency Domain, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Digital Image Processing (DIP).

Check out the MCQs below to embark on an enriching journey through Filtering in Frequency Domain. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Digital Image Processing (DIP).

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Filtering in Frequency Domain. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

### Filtering in Frequency Domain MCQs | Page 1 of 6

Q1.
The product of one even and one odd function is
Answer: (b).odd
Q2.
Complex numbers are viewed in a plane called
Answer: (c).complex plane
Q3.
Fourier transform of unit impulse at origin is
Answer: (c).1
Q4.
Continuous functions are sampled to form a
Answer: (d).digital image
Q5.
The common example of 2D interpolation is image
Answer: (d).resizing
Q6.
2D Fourier transform and its inverse are infinitely
Answer: (b).periodic
Q7.
Aliasing as block like image components is called
Answer: (c).jaggies
Q8.
Shrinking of image can be done using
Answer: (c).bilinear interpolation
Q9.
Sum of many infinitely many periodic impulses is called
Answer: (c).impulse train
Q10.
To reduce the effect of aliasing high frequencies are
Answer: (a).attenuated
Page 1 of 6

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