Introduction Flashcards

1
Q

Which of the following processes involves mapping the intensity values of an image to a finite set of discrete levels?

A) Sampling
B) Quantization
C) Filtering
D) Convolution

A

B) Quantization

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2
Q

In the context of image digitization, what does the term “sampling” refer to?

A) Converting a continuous signal into a discrete signal by measuring its intensity values at regular intervals
B) Mapping the intensity values to a finite set of discrete levels
C) Enhancing the contrast of an image
D) Removing noise from an imag

A

A) Converting a continuous signal into a discrete signal by measuring its intensity values at regular intervals

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3
Q

What is the main purpose of the Fourier transform in image processing?

A) Enhance image contrast
B) Convert an image into its frequency components
C) Smooth the image
D) Detect edges in the image

A

B) Convert an image into its frequency components

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4
Q

Which of the following techniques is best suited for removing salt-and-pepper noise from an image?

A) Gaussian filtering
B) Median filtering
C) Laplacian filtering
D) High-pass filtering

A

B) Median filtering

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5
Q

What is the effect of applying a low-pass filter to an image?

A) Enhancing edges
B) Smoothing the image
C) Increasing image contrast
D) Adding noise to the image

A

B) Smoothing the image

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6
Q

Which image processing technique involves adjusting the range of intensity values to span the full range of the image?

A) Edge detection
B) Histogram equalization
C) Gaussian filtering
D) Convolution

A

B) Histogram equalization

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7
Q

What is the role of the point spread function (PSF) in image formation?

A) Enhancing image contrast
B) Describing how a point source of light is imaged by a system
C) Removing noise from an image
D) Detecting edges in an image

A

B) Describing how a point source of light is imaged by a system

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8
Q

Which of the following metrics measures the ratio of the desired signal to the background noise in an image?

A) SNR (Signal-to-Noise Ratio)
B) PSF (Point Spread Function)
C) MSE (Mean Squared Error)
D) SSIM (Structural Similarity Index)

A

A) SNR (Signal-to-Noise Ratio)

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9
Q

Which filtering technique enhances the edges and fine details in an image by amplifying high-frequency components?

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

A

B) High-pass filtering

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9
Q

What does the dynamic range of an image refer to?

A) The number of pixels in the image
B) The range of intensity values the image can represent
C) The spatial resolution of the image
D) The color depth of the image

A

B) The range of intensity values the image can represent

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10
Q

The process of converting a continuous signal into a discrete signal by measuring its intensity values at regular intervals is called quantization.

A) True
B) False

A

B) False

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11
Q

Aliasing occurs when different signals become indistinguishable due to insufficient sampling.

A) True
B) False

A

A) True

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12
Q

The Fourier transform of an image is used to represent it in terms of its magnitude and phase.

A) True
B) False

A

A) True

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13
Q

In the context of image processing, convolution in the image space corresponds to addition in the Fourier space.

A) True
B) False

A

B) False

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14
Q

Median filtering is commonly used for enhancing the edges of an image.

A) True
B) False

A

B) False

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15
Q

A histogram represents the spatial resolution of an image.

A) True
B) False

A

B) False

16
Q

The dynamic range of an image affects its ability to capture details in both dark and bright areas.

A) True
B) False

A

A) True

17
Q

Blurring an image corresponds to suppressing high-frequency components in its Fourier transform.

A) True
B) False

A

A) True

18
Q

Image enhancement techniques are used to degrade the visual appearance of an image.

A) True
B) False

A

B) False

19
Q

In image digitization, higher spatial resolution means more pixels and finer detail.

A) True
B) False

A

A) True