Welcome to the Intensity Transformations and Spatial Filtering MCQs Page

Dive deep into the fascinating world of Intensity Transformations and Spatial Filtering with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Intensity Transformations and Spatial Filtering, a crucial aspect of Digital Image Processing (DIP). In this section, you will encounter a diverse range of MCQs that cover various aspects of Intensity Transformations and Spatial Filtering, 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 Intensity Transformations and Spatial Filtering. 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 Intensity Transformations and Spatial Filtering. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Intensity Transformations and Spatial Filtering MCQs | Page 22 of 27

Explore more Topics under Digital Image Processing (DIP)

01

Basics of Digital Image Processing

02

Digital Image Fundamentals

03

Filtering in Frequency Domain

04

Image Compression

05

Image Restoration and Reconstruction

06

Color Image Processing

07

Image Segmentation

08

Morphological Image Processing

09

Wavelet and Multiresolution Processing

10

Image Enhancement

Q211.

In frequency domain terminology, which of the following is defined as “obtaining a highpass filtered image by subtracting from the given image a lowpass filtered version of itself”?

Emphasis filtering

Unsharp masking

Butterworth filtering

None of the mentioned

Discuss

Answer: (b).Unsharp masking

Q212.

Which of the following is/ are a generalized form of unsharp masking?

Lowpass filtering

High-boost filtering

Emphasis filtering

All of the mentioned

Discuss

Answer: (b).High-boost filtering

Q213.

High boost filtered image is expressed as: fhb = A f(x, y) – flp(x, y), where f(x, y) the input image, A is a constant and flp(x, y) is the lowpass filtered version of f(x, y). Which of the following fact validates if A=1?

High-boost filtering reduces to regular Highpass filtering

High-boost filtering reduces to regular Lowpass filtering

All of the mentioned

None of the mentioned

Discuss

Answer: (a).High-boost filtering reduces to regular Highpass filtering

Q214.

The contribution of the image itself becomes more dominant

The contribution of the highpass filtered version of image becomes less dominant

All of the mentioned

None of the mentioned

Discuss

Answer: (c).All of the mentioned

Q215.

Unsharp masking can be implemented directly in frequency domain by using a filter: Hhp(u, v) = 1 – Hlp(u, v), where Hlp(u, v) the transfer function of a lowpass filter. What kind of filter is Hhp(u, v)?

Composite filter

M-derived filter

Constant k filter

None of the mentioned

Discuss

Answer: (a).Composite filter

Q216.

The frequency domain Laplacian is closer to which of the following mask?

Mask that excludes the diagonal neighbors

Mask that excludes neighbors in 4-adjacancy

Mask that excludes neighbors in 8-adjacancy

None of the mentioned

Discuss

Answer: (a).Mask that excludes the diagonal neighbors

Q217.

To accentuate the contribution to enhancement made by high-frequency components, which of the following method(s) should be more appropriate to apply?

Multiply the highpass filter by a constant

Add an offset to the highpass filter to prevent eliminating zero frequency term by filter

All of the mentioned combined and applied

None of the mentioned

Discuss

Answer: (c).All of the mentioned combined and applied

Q218.

A process that accentuate the contribution to enhancement made by high-frequency components, by multiplying the highpass filter by a constant and adding an offset to the highpass filter to prevent eliminating zero frequency term by filter is known as _______

Unsharp masking

High-boost filtering

High frequency emphasis

None of the mentioned

Discuss

Answer: (c).High frequency emphasis

Q219.

The transfer function of High frequency emphasis is given as: Hhfe(u, v) = a + b Hhp(u, v), for Hhp(u, v) being the highpass filtered version of image,a≥0 and b>a. for certain values of a and b it reduces to High-boost filtering. Which of the following is the required value?

a = (A-1) and b = 0,A is some constant

a = 0 and b = (A-1),A is some constant

a = 1 and b = 1

a = (A-1) and b =1,A is some constant

Discuss

Answer: (d).a = (A-1) and b =1,A is some constant

Q220.

The transfer function of High frequency emphasis is given as: Hhfe(u, v) = a + b Hhp(u, v), for Hhp(u, v) being the highpass filtered version of image,a≥0 and b>a. What happens when b increases past 1?

The high frequency are emphasized

The low frequency are emphasized

All frequency are emphasized

None of the mentioned

Discuss

Answer: (a).The high frequency are emphasized

Page 22 of 27

Welcome to the Intensity Transformations and Spatial Filtering MCQs Page

Intensity Transformations and Spatial Filtering MCQs | Page 22 of 27

Explore more Topics under Digital Image Processing (DIP)

Basics of Digital Image Processing

Digital Image Fundamentals

Filtering in Frequency Domain

Image Compression

Image Restoration and Reconstruction

Color Image Processing

Image Segmentation

Morphological Image Processing

Wavelet and Multiresolution Processing

Image Enhancement

Suggested Topics

DBMS

PHP

C# programming

Management Information Systems

Internet of Things (IoT)

R Programming

Python

SQL Server

Operating System