Image Enhancement Techniques for Computer Vision and AI

Question 1

In image processing, what is the primary goal of implementing a Gaussian filter?

Accepted Answer

Reduce noise

Answer

Sharpen the image

Answer

Enhance edges

Answer

Increase contrast

Question 2

Which of the following methods is commonly employed to sharpen an image?

Accepted Answer

Convolution with a Laplacian filter

Answer

Sobel operator

Answer

Canny edge detector

Answer

Hough transform

Question 3

How do spatial domain image processing techniques differ from frequency domain techniques?

Accepted Answer

Spatial domain techniques manipulate image pixels directly, while frequency domain techniques require converting the image to the Fourier domain.

Answer

Spatial domain techniques convert the image to the Fourier domain, while frequency domain techniques manipulate image pixels directly.

Answer

Both spatial domain and frequency domain techniques manipulate image pixels directly.

Answer

Both spatial domain and frequency domain techniques convert the image to the Fourier domain.

Question 4

What key information does the histogram of an image reveal?

Accepted Answer

The distribution of pixel values within the image

Answer

The average pixel value in the image

Answer

The maximum pixel value in the image

Answer

The minimum pixel value in the image

Question 5

When utilizing histogram equalization for contrast enhancement, what is a potential drawback to be considered?

Accepted Answer

Amplification of noise within the image

Answer

Over-saturation in the resulting image

Answer

High computational demands

Answer

Only applicable to grayscale images

Question 6

What is the primary function of a convolution mask in image processing?

Accepted Answer

Apply a linear transformation to a specific region of the image

Answer

Detect edges within an image

Answer

Reduce noise in an image

Answer

Enhance contrast in an image

Question 7

Which of the following is NOT a type of noise reduction filter?

Accepted Answer

Canny edge detector

Answer

Median filter

Answer

Gaussian filter

Answer

Bilateral filter

Question 8

Which of the following is NOT a benefit of image enhancement techniques?

Accepted Answer

It can worsen the image's quality.

Answer

It can improve the visual appeal of an image.

Answer

It can reduce the file size of an image.

Answer

It can make objects within an image easier to identify.

Question 9

Which contrast enhancement method is best suited for low-contrast images?

Accepted Answer

Histogram equalization

Answer

Gamma correction

Answer

Bit-plane slicing

Answer

Linear stretching

Question 10

Which noise reduction filter operates by replacing a pixel's value with the median of neighboring pixel values?

Accepted Answer

Median filter

Answer

Gaussian filter

Answer

Wiener filter

Answer

Mean filter

Question 11

Which of the following sharpening operators detects and enhances edges based on the second derivative of the image?

Accepted Answer

Laplacian sharpening

Answer

Canny edge detector

Answer

Sobel edge detector

Answer

Hough transform

Question 12

What is a key benefit of using a histogram in image enhancement?

Accepted Answer

It provides a visual representation of the distribution of pixel values across the intensity range.

Answer

It reduces the computational complexity of image processing algorithms.

Answer

It can correct color balance issues.

Question 13

Which of the following image enhancement techniques modifies the color channels of an image to adjust its overall color appearance?

Accepted Answer

Color correction

Answer

Histogram equalization

Answer

Noise reduction

Answer

Edge detection

Question 14

What is the primary effect of gamma correction on an image?

Accepted Answer

It adjusts the brightness and contrast levels by altering the relationship between input and output pixel values.

Answer

It corrects color balance.

Answer

It removes noise from the image.

Answer

It enhances edges in the image.

Question 15

Which of the following is a domain in which image enhancement techniques play a critical role in computer vision?

Accepted Answer

Object detection and recognition

Answer

Web browsing

Answer

Text processing

Answer

Data compression

Question 16

What is a potential disadvantage of using spatial domain image enhancement techniques?

Accepted Answer

They can introduce artifacts or distortions into the image, especially at high levels of enhancement.

Answer

They require specialized hardware for implementation.

Answer

They are not suitable for real-time image processing applications.

Answer

They are computationally expensive for large images.

Question 17

Which of the following image enhancement techniques operates in the frequency domain by manipulating the Fourier transform of the image?

Accepted Answer

Frequency domain filtering

Answer

Histogram equalization

Answer

Median filter

Answer

Laplacian sharpening

Question 18

Choose the technique that is NOT a type of image enhancement technique:

Accepted Answer

Image segmentation

Answer

Contrast enhancement

Answer

Noise reduction

Answer

Sharpening

Question 19

What is the primary goal of contrast enhancement?

Accepted Answer

To increase the distinction between light and dark regions in an image

Answer

To decrease noise

Answer

To emphasize the outlines of objects

Question 20

Name the widely used filter for noise reduction:

Accepted Answer

Median filter

Answer

Canny edge detector

Answer

Sobel filter

Answer

Hough transform

Question 21

What is achieved by sharpening an image?

Accepted Answer

Enhancement of borders around objects

Answer

Conversion to grayscale

Answer

Noise removal

Answer

Contrast reduction

Question 22

Identify the advantage of applying histogram equalization for contrast enhancement:

Accepted Answer

Improves contrast in poorly lit images

Answer

Introduces irregularities in the image

Answer

High computational complexity

Question 23

What is the disadvantage associated with using a Gaussian filter for noise reduction?

Accepted Answer

Potential blurring of object edges

Answer

Sensitivity to high-frequency noise

Answer

Requirement of a large kernel size

Question 24

Explain the purpose of morphological operations in image processing:

Accepted Answer

To alter the shape and size of objects within an image

Answer

To enhance the contrast in an image

Answer

To reduce noise in an image

Question 25

Describe the fundamental difference between spatial domain and frequency domain image enhancement techniques:

Accepted Answer

Spatial domain techniques work directly on pixel values, while frequency domain techniques operate on the image's Fourier transform

Answer

Spatial domain techniques are more computationally efficient

Question 26

Which contrast enhancement technique involves altering the histogram to expand the distribution of pixel values?

Accepted Answer

Histogram equalization

Answer

Unsharp masking

Answer

Local contrast enhancement

Answer

Gamma correction

Question 27

Which noise reduction filter calculates the new pixel value as a weighted average of the neighboring pixels in the spatial domain?

Accepted Answer

Mean filter

Answer

Median filter

Answer

Gaussian filter

Answer

Bilateral filter

Question 28

Which image sharpening technique employs a Laplacian operator to enhance image features?

Accepted Answer

Laplacian sharpening

Answer

Canny edge detection

Answer

Hough transform

Answer

Sobel operator

Question 29

Which color space conversion model is predominantly used in digital image processing and enhancement?

Accepted Answer

RGB to HSV

Answer

CMYK to YIQ

Answer

YCbCr to XYZ

Answer

HSI to Lab

Question 30

Which image enhancement method aims to mitigate blur and improve image clarity?

Accepted Answer

Image deconvolution

Answer

Image segmentation

Answer

Object detection

Answer

Feature extraction

Question 31

Which noise model assumes that the noise has a normal distribution?

Accepted Answer

Additive white Gaussian noise (AWGN)

Answer

Speckle noise

Answer

Poisson noise

Answer

Salt and pepper noise

Question 32

Which sharpening technique utilizes a high-pass filter to enhance edges in an image?

Accepted Answer

Unsharp masking

Answer

Mean filter

Answer

Gaussian filter

Answer

Median filter

Question 33

Which image enhancement technique involves converting an image into the frequency domain and selectively modifying its components?

Accepted Answer

Frequency domain filtering

Answer

Mean filter

Answer

Histogram equalization

Answer

Unsharp masking

Question 34

Which color space conversion algorithm is commonly employed for image compression?

Accepted Answer

RGB to YCbCr

Answer

HSV to HSI

Answer

CMYK to YIQ

Answer

XYZ to Lab

Question 35

Which noise reduction filter is particularly effective in removing impulse noise characterized by isolated pixels with extreme values?

Accepted Answer

Median filter

Answer

Bilateral filter

Answer

Gaussian filter

Answer

Mean filter

Question 36

Which image enhancement technique specifically increases the distinction between the whitest and darkest areas of an image?

Accepted Answer

Contrast Enhancement

Answer

Sharpening

Answer

Noise Reduction

Answer

Grayscale Conversion

Question 37

In image processing, what is the primary function of applying a low-pass filter?

Accepted Answer

Reduce noise by smoothening the image

Answer

Sharpen image edges

Answer

Adjust color balance

Answer

Enhance image brightness

Question 38

What potential drawback is associated with using histogram equalization for image enhancement?

Accepted Answer

May amplify noise within the image

Answer

Can alter image colors unfavorably

Answer

Necessitates a large dataset for training

Answer

Requires extensive computational resources

Question 39

What fundamental distinction exists between spatial and frequency domain approaches to image enhancement?

Accepted Answer

Spatial domain operates on pixel values directly, while frequency domain utilizes the Fourier transform

Answer

Frequency domain operates on pixel values directly, while spatial domain utilizes the Fourier transform

Answer

Spatial domain is more computationally efficient, while frequency domain provides higher accuracy

Question 40

What is the primary purpose of applying gamma correction in image processing?

Accepted Answer

Adjust image brightness or contrast by modifying pixel intensities

Answer

Enhance color saturation

Answer

Sharpen image edges

Answer

Remove noise from the image

Question 41

Which noise reduction filter operates by calculating the average pixel value within a sliding window?

Accepted Answer

Mean Filter

Answer

Gaussian Filter

Answer

Bilateral Filter

Answer

Median Filter

Question 42

What is the primary benefit of utilizing a histogram for image enhancement?

Accepted Answer

Visualize the distribution of pixel intensities within the image

Answer

Enhance specific features of the image

Answer

Remove noise from the image

Answer

Reduce computational time

Question 43

Which image enhancement technique specifically aims to enhance the contrast between light and dark areas in an image?

Accepted Answer

Contrast enhancement

Answer

Noise reduction

Answer

Sharpening

Answer

Histogram stretching

Question 44

Which image sharpening technique operates by selectively enhancing the high-frequency components of an image?

Accepted Answer

High-pass filtering

Answer

Median filtering

Answer

Bilateral filtering

Answer

Averaging filter

Question 45

Which of the following is a significant advantage of employing histogram equalization for image enhancement?

Accepted Answer

Enhances contrast and dynamic range

Answer

Sharpens edges

Answer

Suppresses artifacts

Answer

Reduces noise

Question 46

Which metric is commonly used to quantify the level of contrast within an image?

Accepted Answer

Contrast ratio

Answer

Structural similarity index

Answer

Signal-to-noise ratio

Answer

Peak signal-to-noise ratio

Question 47

Which image enhancement algorithm leverages the assumption that noise in an image conforms to a Gaussian distribution?

Accepted Answer

Wiener filter

Answer

Bilateral filter

Answer

Kuwahara filter

Answer

Median filter

Question 48

Which sharpening technique exhibits reduced sensitivity to noise compared to high-pass filtering?

Accepted Answer

Unsharp masking

Answer

Gaussian filtering

Answer

Sobel filtering

Answer

Laplacian filtering

Question 49

Which of the following can be considered a potential drawback of histogram equalization?

Accepted Answer

Possibility of introducing artifacts and reducing local contrast

Answer

May not be suitable for all image types

Answer

High computational cost

Answer

Difficult to control the degree of enhancement

Question 50

Which image enhancement technique involves dynamically adjusting pixel values based on their local neighborhood?

Accepted Answer

Adaptive histogram equalization

Answer

Laplacian filtering

Answer

Histogram matching

Answer

Color correction