Welcome to the Image Enhancement MCQs Page

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

Image Enhancement MCQs | Page 1 of 11

Explore more Topics under Digital Image Processing (DIP)

01

Basics of Digital Image Processing

02

Digital Image Fundamentals

03

Intensity Transformations and Spatial Filtering

04

Filtering in Frequency Domain

05

Image Compression

06

Image Restoration and Reconstruction

07

Color Image Processing

08

Image Segmentation

09

Morphological Image Processing

10

Wavelet and Multiresolution Processing

Q1.

The principal factor to determine the spatial resolution of an image is _______

Quantization

Sampling

Contrast

Dynamic range

Discuss

Answer: (b).Sampling

Q2.

What causes the effect, imperceptible set of very fine ridge like structures in areas of smooth gray levels?

Caused by the use of an insufficient number of gray levels in smooth areas of a digital image

Caused by the use of huge number of gray levels in smooth areas of a digital image

All of the mentioned

None of the mentioned

Discuss

Answer: (a).Caused by the use of an insufficient number of gray levels in smooth areas of a digital image

Q3.

What is the name of the effect caused by the use of an insufficient number of gray levels in smooth areas of a digital image?

Dynamic range

Ridging

Graininess

False contouring

Discuss

Answer: (d).False contouring

Q4.

Using rough rule of thumb, and assuming powers of 2 for convenience, what image size are about the smallest images that can be expected to be reasonably free of objectionable sampling checkerboards and false contouring?

512*512pixels and 16 gray levels

256*256pixels and 64 gray levels

64*64pixels and 16 gray levels

32*32pixels and 32 gray levels

Discuss

Answer: (b).256*256pixels and 64 gray levels

Q5.

What does a shift up and right in the curves of isopreference curve simply means? Verify in terms of N (number of pixels) and k (L=2k, L is the gray level) values.

Smaller values for N and k, implies a better picture quality

Larger values for N and k, implies low picture quality

Larger values for N and k, implies better picture quality

Smaller values for N and k, implies low picture quality

Discuss

Answer: (c).Larger values for N and k, implies better picture quality

Q6.

How does the curves behave to the detail in the image in isopreference curve?

Curves tend to become more vertical as the detail in the image decreases

Curves tend to become less vertical as the detail in the image increases

Curves tend to become less vertical as the detail in the image decreases

Curves tend to become more vertical as the detail in the image increases

Discuss

Answer: (d).Curves tend to become more vertical as the detail in the image increases

Q7.

For an image with a large amount of detail, if the value of N (number of pixels) is fixed then what is the gray level dependency in the perceived quality of this type of image?

Totally independent of the number of gray levels used

Nearly independent of the number of gray levels used

Highly dependent of the number of gray levels used

None of the mentioned

Discuss

Answer: (b).Nearly independent of the number of gray levels used

Q8.

What is a band-limited function?

A function of limited duration whose highest frequency is finite

A function of limited duration whose highest frequency is infinite

All of the mentioned

None of the mentioned

Discuss

Answer: (a).A function of limited duration whose highest frequency is finite

Q9.

For a band-limited function, which Theorem says that “if the function is sampled at a rate equal to or greater than twice its highest frequency, the original function can be recovered from its samples”?

Band-limitation theorem

Aliasing frequency theorem

Shannon sampling theorem

None of the mentioned

Discuss

Answer: (c).Shannon sampling theorem

Q10.

What is the name of the phenomenon that corrupts the sampled image, and how does it happen?

Shannon sampling, if the band-limited functions are undersampled

Shannon sampling, if the band-limited functions are oversampled

Aliasing, if the band-limited functions are undersampled

Aliasing, if the band-limited functions are oversampled

Discuss

Answer: (c).Aliasing, if the band-limited functions are undersampled

Page 1 of 11

Welcome to the Image Enhancement MCQs Page

Image Enhancement MCQs | Page 1 of 11

Explore more Topics under Digital Image Processing (DIP)

Basics of Digital Image Processing

Digital Image Fundamentals

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

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