MCQs

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Overall MCQs for Reference

Which filter is primarily used to reduce salt-and-pepper noise in images?
a. Mean filter
b. Gaussian filter
c. Median filter
d. Laplacian filter
Answer: c. Median filtersciencedirect+1
What is the main objective of image filtering in AI?
a. Increase image size
b. Remove unwanted artifacts
c. Add new features
d. Enhance image color
Answer: b. Remove unwanted artifactsannotationbox+1
Which filter highlights the edges of an image by computing the second derivative?
a. Sobel filter
b. Laplacian filter
c. Box filter
d. Mean filter
Answer: b. Laplacian filtergeeksforgeeks+1
What type of filtering manipulates pixels directly in spatial coordinates?
a. Frequency domain filtering
b. Spatial domain filtering
c. Color domain filtering
d. Histogram filtering
Answer: b. Spatial domain filteringsciencedirect+1
Which of the following is a linear filter?
a. Median
b. Bilateral
c. Mean
d. Non-local means
Answer: c. Meannotesonai+1
Which image filtering technique works in the frequency domain to suppress specific frequencies?
a. Sobel filter
b. Gaussian blur
c. Fourier transform filtering
d. Median filter
Answer: c. Fourier transform filteringannotationbox+1
What is the primary effect of a low-pass filter?
a. Edge detection
b. Smoothing
c. Sharpening
d. Color enhancement
Answer: b. Smoothinggeeksforgeeks+1
Which of the following filters preserves edges while reducing noise?
a. Mean filter
b. Bilateral filter
c. Gaussian filter
d. Box filter
Answer: b. Bilateral filtergeeksforgeeks+1
The convolution operation is associated mostly with which domain of filtering?
a. Frequency domain
b. Spatial domain
c. Color domain
d. Morphological domain
Answer: b. Spatial domainstanford+1
In adaptive filtering, filter parameters are adjusted based on:
a. Image content
b. Image color
c. Image size
d. Image filename
Answer: a. Image contentsciencedirect
Which filter averages the pixel values within a neighborhood to smooth the image?
a. Median filter
b. Mean filter
c. Laplacian filter
d. Bilateral filter
Answer: b. Mean filterscaler+1
What is the main drawback of mean filters?
a. Over-smoothing edges
b. Increasing noise
c. Reducing contrast
d. Color distortion
Answer: a. Over-smoothing edgesgeeksforgeeks+1
Which filtering technique is most effective against impulse noise?
a. Box filter
b. Median filter
c. Bilateral filter
d. Frequency filter
Answer: b. Median filterscaler+1
Sobel filter is mainly used for:
a. Edge detection
b. Smoothing
c. Noise addition
d. Color correction
Answer: a. Edge detectionnotesonai+1
Which filter is considered a non-linear spatial filter?
a. Gaussian filter
b. Median filter
c. Mean filter
d. Laplacian filter
Answer: b. Median filtergeeksforgeeks+1
Separable convolution helps with:
a. Increasing memory usage
b. Reducing computation time
c. Decreasing filter accuracy
d. Increasing noise
Answer: b. Reducing computation timesciencedirect
What does “kernel” refer to in image filtering?
a. Image corner
b. Filter matrix
c. Pixel color
d. File type
Answer: b. Filter matrixscribd+1
Gaussian filter is primarily used for:
a. Blurring
b. Sharpening
c. Edge detection
d. Segmentation
Answer: a. Blurringnotesonai+1
Which process enhances image details and highlights high frequency components?
a. Low-pass filtering
b. High-pass filtering
c. Bilateral filtering
d. Mean filtering
Answer: b. High-pass filteringgeeksforgeeks+1
What is the main advantage of bilateral filtering?
a. Speed
b. Edge preservation
c. Color enhancement
d. Increased noise
Answer: b. Edge preservationgeeksforgeeks+1
A filter that assigns weights based on spatial and intensity differences is called:
a. Bilateral filter
b. Mean filter
c. Laplacian filter
d. Box filter
Answer: a. Bilateral filtersciencedirect+1
Box filter is best described as:
a. Non-linear smoothing filter
b. Linear averaging filter
c. Edge-detection filter
d. Frequency-domain filter
Answer: b. Linear averaging filterscaler+1
Which filter is commonly used to deblur images?
a. Gaussian filter
b. Wiener filter
c. Laplacian filter
d. Bilateral filter
Answer: b. Wiener filtersciencedirect
The main goal of edge-preserving filters is to:
a. Smooth without blurring edges
b. Only enhance color
c. Blur all features
d. Remove all details
Answer: a. Smooth without blurring edgesgeeksforgeeks
What is “impulse noise” also known as?
a. Gaussian noise
b. Salt-and-pepper noise
c. Uniform noise
d. Poisson noise
Answer: b. Salt-and-pepper noisegeeksforgeeks+1
Frequency domain filtering commonly utilizes:
a. RGB filters
b. Fourier transform
c. Bilateral weighting
d. Segmentation
Answer: b. Fourier transformannotationbox+1
What does a sharpening filter do?
a. Blurs edges
b. Enhances image contrast
c. Adds random noise
d. Reduces brightness
Answer: b. Enhances image contrastsciencedirect+1
Which filtering effect is widely used for privacy and data anonymization?
a. Sobel filter
b. Blurring
c. Edge detection
d. Bilateral filtering
Answer: b. Blurringsciencedirect
Which filter works based on pixel ranking in a defined neighborhood?
a. Mean filter
b. Median filter
c. Laplacian filter
d. Bilateral filter
Answer: b. Median filtersanfoundry+1
What technique reduces high-frequency intensity changes for smoothing?
a. Edge detection
b. Low-pass filtering
c. High-pass filtering
d. Mean filtering
Answer: b. Low-pass filteringgeeksforgeeks+1
The process of applying a filter mask to each pixel is called:
a. Convolution
b. Segmentation
c. Augmentation
d. Quantization
Answer: a. Convolutionstanford+1
In AI, learning-based filters such as CNNs are used to:
a. Automatically learn filter features
b. Blur images
c. Sharpen images
d. Remove colors
Answer: a. Automatically learn filter featuressciencedirect
Which is considered a basic averaging filter?
a. Box filter
b. Laplacian filter
c. Non-local means filter
d. Bilateral filter
Answer: a. Box filternotesonai+1
What does “non-local means” filtering leverage?
a. Only nearest neighbors
b. All pixels in image
c. No neighbors
d. Random pixels
Answer: b. All pixels in imagesciencedirect
Which filter is commonly applied after image acquisition in preprocessing?
a. Bilateral filter
b. Median filter
c. Histogram equalization
d. All of the above
Answer: d. All of the abovegeeksforgeeks+1
What happens when filter kernel size increases?
a. Enrichment of details
b. Increased smoothing
c. Sharper edges
d. Brighter colors
Answer: b. Increased smoothingstanford+1
Which filter uses both geometric and color differences for weighting?
a. Box filter
b. Bilateral filter
c. Mean filter
d. Sobel filter
Answer: b. Bilateral filtergeeksforgeeks+1
Which filter is best for enhancing fine details and textures?
a. High-pass filter
b. Mean filter
c. Median filter
d. Box filter
Answer: a. High-pass filtersciencedirect
Band-reject filters in the frequency domain:
a. Reject a range of frequencies
b. Accept all frequencies
c. Blur all images
d. Enhance image contrast
Answer: a. Reject a range of frequenciessciencedirect
What is the primary effect of a sharpening filter in image filtering?
a. Adds brightness
b. Highlights edges
c. Reduces colors
d. Smooths pixels
Answer: b. Highlights edgesgeeksforgeeks+1
Which filter effectively smooths an image but may blur edges?
a. Box filter
b. Laplacian filter
c. Bilateral filter
d. Non-local means filter
Answer: a. Box filterscaler+1
Which operator is commonly used for vertical edge detection?
a. Sobel operator
b. Gaussian filter
c. Median filter
d. Box filter
Answer: a. Sobel operatornotesonai+1
Gaussian blur is categorized as:
a. Linear filter
b. Non-linear filter
c. Adaptive filter
d. Color filter
Answer: a. Linear filternotesonai+1
Which method improves computation speed for large image filtering?
a. Fast Fourier Transform (FFT)
b. Histogram equalization
c. Median operation
d. Pixel quantization
Answer: a. Fast Fourier Transform (FFT)sciencedirect
Filtering used for removing small image artifacts while preserving large structures is:
a. Morphological filtering
b. Bilateral filtering
c. Histogram equalization
d. Segmentation
Answer: a. Morphological filteringgeeksforgeeks
What is the main effect of an unsharp mask?
a. Smoothing
b. Sharpening
c. Color enhancement
d. Blurring
Answer: b. Sharpeningsciencedirect
Non-linear filters are often preferred for which type of noise?
a. Gaussian noise
b. Salt-and-pepper noise
c. Uniform noise
d. Speckle noise
Answer: b. Salt-and-pepper noisegeeksforgeeks+1
Wiener filtering is associated with:
a. Image restoration
b. Edge detection
c. Image segmentation
d. Color quantization
Answer: a. Image restorationsciencedirect
What is one application of blurring filters in security?
a. Object detection
b. Privacy protection
c. Image super-resolution
d. Image colorization
Answer: b. Privacy protectionsciencedirect
Which filtering approach combines spatial and color information for denoising?
a. Gaussian filter
b. Bilateral filter
c. Median filter
d. Box filter
Answer: b. Bilateral filtergeeksforgeeks+1

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