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Digital Image Processing MCQs

This comprehensive set of Digital Image Processing MCQs is designed to cover all essential topics required for success in exams related to image processing and computer vision. Focused on key subjects such as image enhancement, image restoration, segmentation, feature extraction, and image compression techniques, these MCQs are crafted to help students build a strong foundation in digital image processing concepts and applications.

Who should practice Digital Image Processing MCQs?

  • Students preparing for computer science, electronics, or multimedia courses that include digital image processing concepts.
  • Individuals aiming to strengthen their understanding of image transformation techniques, filtering, and noise reduction.
  • Candidates preparing for exams or certifications that assess knowledge of image processing algorithms and tools like MATLAB or OpenCV.
  • Learners interested in mastering edge detection, color image processing, morphological operations, and histogram equalization.
  • Professionals focused on improving their skills in applications such as medical imaging, computer vision, and pattern recognition.
  • Suitable for all aspirants seeking to enhance their knowledge and performance in digital image processing for academic or professional success.

 

1. What is Digital Image Processing?

A) The process of converting analog images to digital images
B) The process of analyzing and manipulating images through digital methods
C) The study of images in a digital format
D) All of the above

View Answer
D

 

2. Which of the following is a common image file format?

A) JPEG
B) DOC
C) MP3
D) TXT

View Answer
A

 

3. What does the term “pixel” refer to in digital images?

A) A type of image filter
B) The smallest unit of a digital image
C) A software tool for image editing
D) A color model

View Answer
B

 

4. What is the primary purpose of image filtering?

A) To reduce image size
B) To enhance certain features or remove noise
C) To change the file format
D) To compress image data

View Answer
B

 

5. Which of the following is an application of Digital Image Processing?

A) Medical imaging
B) Image recognition
C) Remote sensing
D) All of the above

View Answer
D

 

6. What is histogram equalization used for?

A) To improve image contrast
B) To compress images
C) To reduce noise
D) To convert colors

View Answer
A

 

7. What does the term “resolution” refer to in the context of digital images?

A) The size of the image in bytes
B) The number of pixels in an image
C) The quality of an image based on color depth
D) The speed of image processing

View Answer
B

 

8. Which color model uses red, green, and blue as primary colors?

A) CMYK
B) HSL
C) RGB
D) HSV

View Answer
C

 

9. What is a convolution operation in image processing?

A) A method for resizing images
B) A mathematical operation to filter images
C) A technique to convert images to black and white
D) A way to enhance image colors

View Answer
B

 

10. Which of the following techniques is used for edge detection?

A) Gaussian filter
B) Sobel operator
C) Median filter
D) Bilateral filter

View Answer
B

 

11. What is the purpose of image segmentation?

A) To convert images from one format to another
B) To divide an image into meaningful parts
C) To enhance image colors
D) To reduce image size

View Answer
B

 

12. Which type of noise is often removed using median filtering?

A) Gaussian noise
B) Salt-and-pepper noise
C) Poisson noise
D) Uniform noise

View Answer
B

 

13. What is the main function of the Fourier Transform in image processing?

A) To enhance image quality
B) To analyze the frequency components of an image
C) To segment images
D) To compress image data

View Answer
B

 

14. Which of the following is a common method for image compression?

A) Lossy compression
B) Lossless compression
C) Both A and B
D) None of the above

View Answer
C

 

15. In which application is Digital Image Processing NOT typically used?

A) Video games
B) Weather forecasting
C) Text processing
D) Satellite imagery

View Answer
C

 

16. What does the term “color depth” refer to?

A) The number of colors in an image
B) The quality of colors in an image
C) The brightness of an image
D) The contrast ratio of an image

View Answer
A

 

17. Which technique is used to resize images?

A) Filtering
B) Interpolation
C) Segmentation
D) Compression

View Answer
B

 

18. What is a Gaussian blur?

A) A method to enhance edges
B) A technique to smooth an image
C) A way to sharpen an image
D) A process to detect colors

View Answer
B

 

19. What is the primary purpose of image restoration?

A) To improve image quality by reducing noise and blurriness
B) To change the color of an image
C) To segment images into parts
D) To compress images for storage

View Answer
A

 

20. Which of the following is a popular software for Digital Image Processing?

A) Adobe Photoshop
B) Microsoft Word
C) Excel
D) Notepad

View Answer
A

 

21. What is the main function of a digital camera’s sensor?

A) To store images
B) To convert light into electrical signals
C) To process images
D) To compress images

View Answer
B

 

22. Which of the following operations is NOT typically performed in Digital Image Processing?

A) Data analysis
B) Image filtering
C) Image enhancement
D) Image storage

View Answer
A

 

23. What is the significance of the aspect ratio in images?

A) It affects image quality
B) It determines the shape of the image
C) It influences color depth
D) It defines the file size

View Answer
B

 

24. Which file format supports lossless compression?

A) JPEG
B) PNG
C) GIF
D) Both B and C

View Answer
D

 

25. What is the purpose of a color space?

A) To define how colors are represented in images
B) To compress image data
C) To resize images
D) To filter images

View Answer
A

 

26. What does the term “aliasing” refer to in image processing?

A) A method of compressing images
B) Distortion that occurs when representing high-frequency detail
C) A color representation method
D) A filtering technique

View Answer
B

 

27. Which of the following filters is used for sharpening images?

A) Low-pass filter
B) High-pass filter
C) Median filter
D) Gaussian filter

View Answer
B

 

28. What is a binary image?

A) An image that contains multiple colors
B) An image that consists of only two colors: black and white
C) An image with grayscale tones
D) An image with multiple shades of a single color

View Answer
B

 

29. What does “DPI” stand for in image printing?

A) Data Per Inch
B) Dots Per Inch
C) Density Per Inch
D) Dimensions Per Inch

View Answer
B

 

30. Which algorithm is commonly used for image segmentation?

A) K-means clustering
B) Fourier Transform
C) Principal Component Analysis
D) Singular Value Decomposition

View Answer
A

 

31. What is the role of the luminance component in an image?

A) To define color saturation
B) To represent brightness levels
C) To adjust contrast
D) To compress data

View Answer
B

 

32. What is the purpose of a watermark in images?

A) To improve image resolution
B) To protect copyright and ownership
C) To enhance image quality
D) To reduce file size

View Answer
B

 

33. Which technique is often used to detect corners in an image?

A) Sobel operator
B) Harris corner detector
C) Canny edge detector
D) Gaussian blur

View Answer
B

 

34. What is the purpose of a look-up table (LUT) in image processing?

A) To store image metadata
B) To enhance colors and contrast
C) To convert images to grayscale
D) To compress images

View Answer
B

 

35. What does the term “gamma correction” refer to?

A) Adjusting the brightness of an image
B) A method of color adjustment
C) The process of compressing images
D) A technique to improve image resolution

View Answer
A

 

36. What is the primary advantage of using vector graphics?

A) They are resolution dependent
B) They can be scaled without loss of quality
C) They require more storage
D) They are easier to edit

View Answer
B

 

37. What is “noise reduction” in image processing?

A) The process of eliminating unwanted artifacts from an image
B) The enhancement of image features
C) The compression of image data
D) The adjustment of image colors

View Answer
A

 

38. What does the acronym “MSE” stand for in image quality assessment?

A) Mean Square Error
B) Median Square Error
C) Maximum Square Error
D) Minimum Square Error

View Answer
A

 

39. Which technique can be used to convert a color image to grayscale?

A) Histogram equalization
B) Color averaging
C) Image segmentation
D) Color inversion

View Answer
B

 

40. What is the main purpose of image morphology?

A) To compress images
B) To analyze geometric structures in images
C) To enhance color
D) To change file formats

View Answer
B

 

41. Which of the following is a characteristic of a grayscale image?

A) It contains multiple colors
B) It represents color depth
C) It consists of varying shades of gray
D) It is always a binary image

View Answer
C

 

42. What is the purpose of using a mask in image processing?

A) To enhance image brightness
B) To apply effects to specific parts of an image
C) To compress images
D) To change file formats

View Answer
B

 

43. Which of the following is NOT a common image enhancement technique?

A) Contrast stretching
B) Histogram equalization
C) Median filtering
D) Image resizing

View Answer
D

 

44. What is the significance of the Canny edge detector?

A) It is a simple edge detection method
B) It provides multi-stage edge detection
C) It works only on grayscale images
D) It does not provide good results

View Answer
B

 

45. Which technique is commonly used for image feature extraction?

A) K-means clustering
B) Hough transform
C) Histogram equalization
D) Gaussian filtering

View Answer
B

 

46. What is the primary goal of image registration?

A) To align different images of the same scene
B) To compress images for storage
C) To enhance image colors
D) To resize images

View Answer
A

 

47. Which of the following color models is often used in printing?

A) RGB
B) CMYK
C) HSL
D) HSV

View Answer
B

 

48. What does the term “spatial resolution” refer to?

A) The amount of detail an image holds
B) The number of colors in an image
C) The compression level of an image
D) The brightness of an image

View Answer
A

 

49. What is the result of applying a low-pass filter to an image?

A) Enhanced edges
B) Smoother image with reduced noise
C) Increased brightness
D) Increased color saturation

View Answer
B

 

50. Which of the following describes a “feature” in an image?

A) The size of the image
B) A distinctive pattern or detail in the image
C) The color of the image
D) The resolution of the image

View Answer
B

 

51. What is the role of the brightness adjustment in image processing?

A) To enhance colors
B) To change the contrast
C) To make an image lighter or darker
D) To sharpen edges

View Answer
C

 

52. Which file format supports both vector and raster graphics?

A) JPEG
B) SVG
C) PNG
D) GIF

View Answer
B

 

53. What does the acronym “ROI” stand for in image processing?

A) Region of Interest
B) Region of Information
C) Return of Investment
D) Region of Input

View Answer
A

 

54. What type of transformation is performed during image rotation?

A) Linear transformation
B) Non-linear transformation
C) Affine transformation
D) Geometric transformation

View Answer
C

 

55. Which technique is used to enhance image contrast?

A) Histogram stretching
B) Image smoothing
C) Gaussian filtering
D) Edge detection

View Answer
A

 

56. What does the term “interpolation” refer to in image processing?

A) The process of enlarging an image
B) The estimation of pixel values in an image
C) The reduction of image quality
D) The conversion of color spaces

View Answer
B

 

57. What is the purpose of a color histogram?

A) To represent the brightness levels in an image
B) To visualize the distribution of colors in an image
C) To determine the resolution of an image
D) To compress image data

View Answer
B

 

58. Which filter is used to remove Gaussian noise from an image?

A) Median filter
B) Gaussian filter
C) High-pass filter
D) Low-pass filter

View Answer
B

 

59. What is the main goal of edge detection in image processing?

A) To reduce image size
B) To find boundaries within an image
C) To enhance color depth
D) To compress images

View Answer
B

 

60. Which technique is commonly used for image classification?

A) Neural networks
B) Fourier Transform
C) Morphological operations
D) Histogram equalization

View Answer
A

 

61. What does the acronym “SNR” stand for in image processing?

A) Signal-to-Noise Ratio
B) Source-to-Noise Ratio
C) Signal-to-Noise Rendering
D) Signal-to-Negative Ratio

View Answer
A

 

62. Which of the following is NOT a color space?

A) RGB
B) CMYK
C) YUV
D) XYZ-Alpha

View Answer
D

 

63. What is the effect of using a high-pass filter on an image?

A) It blurs the image
B) It enhances edges and fine details
C) It reduces noise
D) It decreases brightness

View Answer
B

 

64. What does “quantization” refer to in digital images?

A) The process of measuring pixel values
B) The reduction of color levels in an image
C) The increase of image size
D) The conversion of images to grayscale

View Answer
B

 

65. Which of the following is a method of image compression?

A) Huffman coding
B) Color mapping
C) Pixel filtering
D) Histogram manipulation

View Answer
A

 

66. What is the role of a “template” in image matching?

A) To compress images
B) To analyze and compare image features
C) To enhance colors
D) To convert file formats

View Answer
B

 

67. Which of the following tools is used for image manipulation?

A) MATLAB
B) Excel
C) Notepad
D) PowerPoint

View Answer
A

 

68. What is the primary goal of image deblurring?

A) To compress image size
B) To enhance image colors
C) To restore sharpness in blurred images
D) To convert images to grayscale

View Answer
C

 

69. What does the acronym “CAD” stand for in the context of images?

A) Computer-Aided Design
B) Computer Application Development
C) Color Adjustment Display
D) Composite Array Design

View Answer
A

 

70. Which of the following describes a “filter” in image processing?

A) A tool to remove color
B) A technique to modify pixel values
C) A software application for editing images
D) A process of converting images

View Answer
B

 

71. What is the effect of applying a median filter?

A) It sharpens the image
B) It removes noise while preserving edges
C) It enhances colors
D) It reduces image size

View Answer
B

 

72. What does the term “contrast stretching” refer to?

A) A method to enhance brightness
B) A technique to improve image contrast
C) A process of resizing images
D) A way to reduce noise

View Answer
B

 

73. Which of the following is a characteristic of lossy compression?

A) No data is lost during compression
B) It reduces image quality
C) It is always reversible
D) It uses fewer resources

View Answer
B

 

74. What does the acronym “JPEG” stand for?

A) Joint Photographic Experts Group
B) Joint Picture Encoding Group
C) Joint Photo Editing Group
D) Joint Print Engineering Group

View Answer
A

 

75. Which of the following operations can be used to blend two images?

A) Image masking
B) Image inversion
C) Image filtering
D) Image segmentation

View Answer
A

 

76. What is the purpose of “feature matching” in image processing?

A) To reduce image size
B) To compare features from different images
C) To enhance colors
D) To convert images to grayscale

View Answer
B

 

77. What is the effect of using a low-pass filter?

A) Enhanced edges
B) Smoother image with reduced detail
C) Increased brightness
D) Color inversion

View Answer
B

 

78. Which of the following describes a “raster” image?

A) It is made up of lines and curves
B) It consists of pixels arranged in a grid
C) It can be scaled without loss of quality
D) It is a mathematical representation of images

View Answer
B

 

79. What is the primary function of a “pixel” in an image?

A) To store image metadata
B) To represent color and brightness
C) To define image format
D) To compress data

View Answer
B

 

80. Which color model is commonly used in video displays?

A) RGB
B) CMYK
C) HSL
D) YCbCr

View Answer
A

 

81. What is the purpose of “image alignment”?

A) To compress images
B) To match different images for comparison
C) To enhance image quality
D) To convert images to black and white

View Answer
B

 

82. What does the acronym “API” stand for in the context of image processing software?

A) Application Programming Interface
B) Applied Processing Integration
C) Advanced Picture Imaging
D) Application Picture Interface

View Answer
A

 

83. What is the main purpose of “color grading” in image editing?

A) To adjust image brightness
B) To enhance the aesthetic quality of colors
C) To compress image files
D) To resize images

View Answer
B

 

84. Which of the following tools is NOT commonly used for image processing?

A) GIMP
B) Photoshop
C) Blender
D) Microsoft Word

View Answer
D

 

85. What is “dynamic range” in image processing?

A) The difference between the darkest and brightest parts of an image
B) The size of an image
C) The number of colors in an image
D) The amount of data in an image

View Answer
A

 

86. What does the term “object recognition” refer to in image processing?

A) The process of identifying objects within an image
B) The method of resizing images
C) The technique of filtering images
D) The enhancement of colors

View Answer
A

 

87. What is the purpose of “color correction” in image editing?

A) To reduce noise
B) To adjust colors to be more accurate
C) To enhance brightness
D) To compress image data

View Answer
B

 

88. Which of the following is a technique used for facial recognition?

A) Edge detection
B) Neural networks
C) Fourier Transform
D) Morphological operations

View Answer
B

 

89. What does “image inversion” do to an image?

A) It enhances edges
B) It changes colors to their opposites
C) It converts the image to grayscale
D) It reduces image size

View Answer
B

 

90. Which of the following is a characteristic of a vector graphic?

A) It is made of pixels
B) It can be scaled without losing quality
C) It has a fixed resolution
D) It is always black and white

View Answer
B

 

91. What is the main purpose of a “frame buffer” in image processing?

A) To store and manage image data
B) To compress images
C) To enhance image quality
D) To convert formats

View Answer
A

 

92. Which of the following techniques is used to track objects in video?

A) Histogram equalization
B) Optical flow
C) Edge detection
D) Image segmentation

View Answer
B

 

93. What is a “3D rendering” in image processing?

A) Creating a 3D model from 2D images
B) The process of generating a 2D image from a 3D model
C) The method of compressing 3D images
D) Converting images to grayscale

View Answer
B

 

94. What does the acronym “NLP” stand for in the context of image processing?

A) Neural Linear Processing
B) Natural Language Processing
C) Non-linear Pixel
D) Normalized Light Processing

View Answer
B

 

95. What is the primary purpose of “image synthesis”?

A) To create new images from existing ones
B) To reduce image size
C) To enhance image colors
D) To analyze image features

View Answer
A

 

96. Which of the following is NOT a method for image filtering?

A) Low-pass filtering
B) High-pass filtering
C) Morphological filtering
D) Content-aware filtering

View Answer
D

 

97. What is the significance of “metadata” in images?

A) It provides additional information about the image
B) It affects the image quality
C) It represents the colors in an image
D) It defines the resolution

View Answer
A

 

98. Which of the following describes a “visualization” technique in image processing?

A) It enhances image contrast
B) It helps interpret complex data through images
C) It compresses image data
D) It changes file formats

View Answer
B

 

99. What does “template matching” do in image processing?

A) It filters images
B) It compares an image to a template for recognition
C) It enhances image colors
D) It resizes images

View Answer
B

 

100. What is the effect of applying a “color filter” in image processing?

A) It changes the brightness of an image
B) It alters the color balance of an image
C) It compresses image data
D) It enhances edges

View Answer
B

 

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