Spatial and Gray-Level Resolution and Aliasing MCQ

Test your knowledge with important Spatial and Gray-Level Resolution and Aliasing MCQ and their applications. These MCQs are beneficial for competitive exams too. Explore 30+ more Spatial and Gray-Level Resolution and Aliasing MCQs on Bissoy. Bissoy App

• How can one reduce the aliasing effect on an image?
  ক

  By reducing the high-frequency components of image by blurring the image

  খ

  By increasing the high-frequency components of image by blurring the image

  গ

  By reducing the high-frequency components of image by clarifying the image

  ঘ

  By increasing the high-frequency components of image by clarifying the image
• How aliasing does corrupts the sampled image?
  ক

  By introducing additional frequency components to the sampled function

  খ

  By removing some frequency components from the sampled function

  গ

  All of the mentioned

  ঘ

  None of the mentioned
• What is the name of the phenomenon that corrupts the sampled image, and how does it happen?
  ক

  Shannon sampling, if the band-limited functions are undersampled

  খ

  Shannon sampling, if the band-limited functions are oversampled

  গ

  Aliasing, if the band-limited functions are undersampled

  ঘ

  Aliasing, if the band-limited functions are oversampled
• 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”?
  ক

  Band-limitation theorem

  খ

  Aliasing frequency theorem

  গ

  Shannon sampling theorem

  ঘ

  None of the mentioned
• What is a band-limited function?
  ক

  A function of limited duration whose highest frequency is finite

  খ

  A function of limited duration whose highest frequency is infinite

  গ

  All of the mentioned

  ঘ

  None of the mentioned
• 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?
  ক

  Totally independent of the number of gray levels used

  খ

  Nearly independent of the number of gray levels used

  গ

  Highly dependent of the number of gray levels used

  ঘ

  None of the mentioned
• How does the curves behave to the detail in the image in isopreference curve?
  ক

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

  খ

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

  গ

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

  ঘ

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

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

  খ

  Larger values for N and k, implies low picture quality

  গ

  Larger values for N and k, implies better picture quality

  ঘ

  Smaller values for N and k, implies low picture quality
• 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?
  ক

  512*512pixels and 16 gray levels

  খ

  256*256pixels and 64 gray levels

  গ

  64*64pixels and 16 gray levels

  ঘ

  32*32pixels and 32 gray levels
• 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?
  ক

  Dynamic range

  খ

  Ridging

  গ

  Graininess

  ঘ

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

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

  খ

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

  গ

  All of the mentioned

  ঘ

  None of the mentioned
• The principal factor to determine the spatial resolution of an image is _______
  ক

  Quantization

  খ

  Sampling

  গ

  Contrast

  ঘ

  Dynamic range