Welcome to the Digital Image Fundamentals MCQs Page

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

Digital Image Fundamentals MCQs | Page 7 of 10

Explore more Topics under Digital Image Processing (DIP)

01

Basics of Digital Image Processing

02

Intensity Transformations and Spatial Filtering

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

Q61.

Let Z be the set of real integers and R the set of real numbers. The sampling process may be viewed as partitioning the x-y plane into a grid, with the central coordinates of each grid being from the Cartesian product Z2, that is a set of all ordered pairs (zi, zj), with zi and zj being integers from Z. Then, f(x, y) is a digital image if (x, y) are integers from Z2 and f is a function that assigns a gray-level value (that is, a real number from the set R) to each distinct coordinate pair (x, y). What happens to the digital image if the gray levels also are integers?

The Digital image then becomes a 2-D function whose coordinates and amplitude values are integers

The Digital image then becomes a 1-D function whose coordinates and amplitude values are integers

The gray level can never be integer

None of the mentioned

Discuss

Answer: (a).The Digital image then becomes a 2-D function whose coordinates and amplitude values are integers

Q62.

The digitization process i.e. the digital image has M rows and N columns, requires decisions about values for M, N, and for the number, L, of gray levels allowed for each pixel. The value M and N have to be:

M and N have to be positive integer

M and N have to be negative integer

M have to be negative and N have to be positive integer

M have to be positive and N have to be negative integer

Discuss

Answer: (a).M and N have to be positive integer

Q63.

The digitization process i.e. the digital image has M rows and N columns, requires decisions about values for M, N, and for the number, L, of max gray levels. There are no requirements on M and N, other than that M and N have to be positive integer. However, the number of gray levels typically is

An integer power of 2 i.e. L = 2k

A Real power of 2 i.e. L = 2k

Two times the integer value i.e. L = 2k

None of the mentioned

Discuss

Answer: (a).An integer power of 2 i.e. L = 2k

Q64.

The digitization process i.e. the digital image has M rows and N columns, requires decisions about values for M, N, and for the number, L, of max gray levels is an integer power of 2 i.e. L = 2k, allowed for each pixel. If we assume that the discrete levels are equally spaced and that they are integers then they are in the interval __________ and Sometimes the range of values spanned by the gray scale is called the ________ of an image.

[0, L – 1] and static range respectively

[0, L / 2] and dynamic range respectively

[0, L / 2] and static range respectively

[0, L – 1] and dynamic range respectively

Discuss

Answer: (d).[0, L – 1] and dynamic range respectively

Q65.

After digitization process a digital image with M rows and N columns have to be positive and for the number, L, max gray levels i.e. an integer power of 2 for each pixel. Then, the number b, of bits required to store a digitized image is:

b=M*N*k

b=M*N*L

b=M*L*k

b=L*N*k

Discuss

Answer: (a).b=M*N*k

Q66.

An image whose gray-levels span a significant portion of gray scale have __________ dynamic range while an image with dull, washed out gray look have __________ dynamic range.

Low and High respectively

High and Low respectively

Both have High dynamic range, irrespective of gray levels span significance on gray scale

Both have Low dynamic range, irrespective of gray levels span significance on gray scale

Discuss

Answer: (b).High and Low respectively

Q67.

Validate the statement “When in an Image an appreciable number of pixels exhibit high dynamic range, the image will have high contrast.”

True

False

May be

Can't Say

Discuss

Answer: (a).True

Q68.

In digital image of M rows and N columns and L discrete gray levels, calculate the bits required to store a digitized image for M=N=32 and L=16.

16384

4096

8192

512

Discuss

Answer: (b).4096

Q69.

A continuous image is digitised at _______ points.

random

vertex

contour

sampling

Discuss

Answer: (d).sampling

Q70.

The transition between continuous values of the image function and its digital equivalent is called ______________

Quantisation

Sampling

Rasterisation

None of the Mentioned

Discuss

Answer: (a).Quantisation

Page 7 of 10

Welcome to the Digital Image Fundamentals MCQs Page

Digital Image Fundamentals MCQs | Page 7 of 10

Explore more Topics under Digital Image Processing (DIP)

Basics of Digital Image Processing

Intensity Transformations and Spatial Filtering

Filtering in Frequency Domain

Image Compression

Image Restoration and Reconstruction

Color Image Processing

Image Segmentation

Morphological Image Processing

Wavelet and Multiresolution Processing

Image Enhancement

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