250+ TOP MCQs on Smoothing Spacial Filters & Answers

Digital Image Processing Multiple Choice Questions on “Smoothing Spacial Filters”.

1. The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighbourhood of the filter mask.
A. Sum
B. Product
C. Average
D. Dot Product
Answer: C
Clarification: Smoothing is simply the average of the pixels contained in the neighbourhood.

2. Averaging filters is also known as ____________ filter.
A. Low pass
B. High pass
C. Band pass
D. None of the Mentioned
Answer: A
Clarification: Averaging filters is also known as Low pass filters.

3. What is the undesirable side effects of Averaging filters?
A. No side effects
B. Blurred image
C. Blurred edges
D. Loss of sharp transitions
Answer: C
Clarification: Blue edges is the undesirable side effect of Averaging filters.

4. A spatial averaging filter in which all coefficients are equal is called _______________.
A. Square filter
B. Neighbourhood
C. Box filter
D. Zero filter
Answer: C
Clarification: It is called a Box filter.

5. Which term is used to indicate that pixels are multiplied by different coefficients?
A. Weighted average
B. Squared average
C. Spatial average
D. None of the Mentioned
Answer: A
Clarification: It is called weighted average since more importance(weight) is given to some pixels.

6. The non linear spacial filters whose response is based on ordering of the pixels contained is called _____________.
A. Box filter
B. Square filter
C. Gaussian filter
D. Order-statistic filter
Answer: D
Clarification: It is called Order-statistic filter.

7. Impulse noise in Order-statistic filter is also called as _______________
A. Median noise
B. Bilinear noise
C. Salt and pepper noise
D. None of the Mentioned
Answer: C
Clarification: It is called salt-and-pepper noise because of its appearance as white and black dots superimposed on an image.

8. Best example for a Order-statistic filter is ____________________
A. Impulse filter
B. Averaging filter
C. Median filter
D. None of the Mentioned
Answer: C
Clarification: Median filter is the best known Order-statistic filter.

9. What does “eliminated” refer to in median filter?
A. Force to average intensity of neighbours
B. Force to median intensity of neighbours
C. Eliminate median value of pixels
D. None of the Mentioned
Answer: B
Clarification: It refers to forcing to median intensity of neighbours.

10. Which of the following is best suited for salt-and-pepper noise elimination?
A. Average filter
B. Box filter
C. Max filter
D. Median filter
Answer: D
Clarification: Median filter is better suited than average filter for salt-and-pepper noise elimination.

250+ TOP MCQs on Basics Of Image Sampling & Quantization & Answers

Digital Image Processing Multiple Choice Questions & Answers on “Basics Of Image Sampling & Quantization”.

1. To convert a continuous sensed data into Digital form, which of the following is required?
A. Sampling
B. Quantization
C. Both Sampling and Quantization
D. Neither Sampling nor Quantization

Answer: C
Clarification: The output of the most sensor is a continuous waveform and the amplitude and spatial behavior of such waveform are related to the physical phenomenon being sensed.

2. To convert a continuous image f(x, y) to digital form, we have to sample the function in __________
A. Coordinates
B. Amplitude`
C. All of the mentioned
D. None of the mentioned

Answer: C
Clarification: An image may be continuous in the x- and y-coordinates or in amplitude, or in both.

3. For a continuous image f(x, y), how could be Sampling defined?
A. Digitizing the coordinate values
B. Digitizing the amplitude values
C. All of the mentioned
D. None of the mentioned

Answer: A
Clarification: Sampling is the method of digitizing the coordinate values of the image.

4. For a continuous image f(x, y), Quantization is defined as
A. Digitizing the coordinate values
B. Digitizing the amplitude values
C. All of the mentioned
D. None of the mentioned

Answer: B
Clarification: Sampling is the method of digitizing the amplitude values of the image.

5. Validate the statement:
“For a given image in one-dimension given by function f(x, y), to sample the function we take equally spaced samples, superimposed on the function, along a horizontal line. However, the sample values still span (vertically) a continuous range of gray-level values. So, to convert the given function into a digital function, the gray-level values must be divided into various discrete levels.”
A. True
B. False

Answer: A
Clarification: Digital function requires both sampling and quantization of the one-dimensional image function.

6. How is sampling been done when an image is generated by a single sensing element combined with mechanical motion?
A. The number of sensors in the strip defines the sampling limitations in one direction and Mechanical motion in the other direction.
B. The number of sensors in the sensing array establishes the limits of sampling in both directions.
C. The number of mechanical increments when the sensor is activated to collect data.
D. None of the mentioned.

Answer: C
Clarification: When an image is generated by a single sensing element along with mechanical motion, the output data is quantized by dividing the gray-level scale into many discrete levels. However, sampling is done by selecting the number of individual mechanical increments recorded at which we activate the sensor to collect data.

7. How does sampling gets accomplished with a sensing strip being used for image acquisition?
A. The number of sensors in the strip establishes the sampling limitations in one image direction and Mechanical motion in the other direction
B. The number of sensors in the sensing array establishes the limits of sampling in both directions
C. The number of mechanical increments when the sensor is activated to collect data
D. None of the mentioned

Answer: A
Clarification: When a sensing strip is used the number of sensors in the strip defines the sampling limitations in one direction and mechanical motion in the other direction.

8. How is sampling accomplished when a sensing array is used for image acquisition?
A. The number of sensors in the strip establishes the sampling limitations in one image direction and Mechanical motion in the other direction
B. The number of sensors in the sensing array defines the limits of sampling in both directions
C. The number of mechanical increments at which we activate the sensor to collect data
D. None of the mentioned

Answer: B
Clarification: When we use sensing array for image acquisition, there is no motion and so, only the number of sensors in the array defines the limits of sampling in both directions and the output of the sensor is quantized by dividing the gray-level scale into many discrete levels.

9. The quality of a digital image is well determined by ___________
A. The number of samples
B. The discrete gray levels
C. All of the mentioned
D. None of the mentioned

Answer: C
Clarification: The quality of a digital image is determined mostly by the number of samples and discrete gray levels used in sampling and quantization.

250+ TOP MCQs on Smoothing Linear Spatial Filters & Answers

Digital Image Processing Questions and Answers for Aptitude test on “Smoothing Linear Spatial Filters”.

1. Smoothing filter is used for which of the following work(s)?
A. Blurring
B. Noise reduction
C. All of the mentioned
D. None of the mentioned
Answer: C
Clarification: Smoothing filter is used for blurring and noise reduction.

2. The response of the smoothing linear spatial filter is/are __________
A. Sum of image pixel in the neighborhood filter mask
B. Difference of image in the neighborhood filter mask
C. Product of pixel in the neighborhood filter mask
D. Average of pixels in the neighborhood of filter mask
Answer: D
Clarification: The average of pixels in the neighborhood of filter mask is simply the output of the smoothing linear spatial filter.

3. Which of the following filter(s) results in a value as average of pixels in the neighborhood of filter mask.
A. Smoothing linear spatial filter
B. Averaging filter
C. Lowpass filter
D. All of the mentioned
Answer: D
Clarification: The output as an average of pixels in the neighborhood of filter mask is simply the output of the smoothing linear spatial filter also known as averaging filter and lowpass filter.

4. What is/are the resultant image of a smoothing filter?
A. Image with high sharp transitions in gray levels
B. Image with reduced sharp transitions in gray levels
C. All of the mentioned
D. None of the mentioned
Answer: B
Clarification: Random noise has sharp transitions in gray levels and smoothing filters does noise reduction.

5. At which of the following scenarios averaging filters is/are used?
A. In the reduction of irrelevant details in an image
B. For smoothing of false contours
C. For noise reductions
D. All of the mentioned
Answer: D
Clarification: Averaging filter or smoothing linear spatial filter is used: for noise reduction by reducing the sharp transitions in gray level, for smoothing false contours that arises because of use of insufficient number of gray values and for reduction of irrelevant data i.e. the pixels regions that are small in comparison of filter mask.

6. A spatial averaging filter having all the coefficients equal is termed _________
A. A box filter
B. A weighted average filter
C. A standard average filter
D. A median filter
Answer: A
Clarification: An averaging filter is termed as box filter if all the coefficients of spatial averaging filter are equal.

7. What does using a mask having central coefficient maximum and then the coefficients reducing as a function of increasing distance from origin results?
A. It results in increasing blurring in smoothing process
B. It results to reduce blurring in smoothing process
C. Nothing with blurring occurs as mask coefficient relation has no effect on smoothing process
D. None of the mentioned
Answer: A
Clarification: Use of a mask having central coefficient maximum and then the coefficients reducing as a function of increasing distance from origin is a strategy to reduce blurring in smoothing process.

8. What is the relation between blurring effect with change in filter size?
A. Blurring increases with decrease of the size of filter size
B. Blurring decrease with decrease of the size of filter size
C. Blurring decrease with increase of the size of filter size
D. Blurring increases with increase of the size of filter size
Answer: D
Clarification: Using a size 3 filter 3*3 and 5*5 size squares and other objects shows a significant blurring with respect to object of larger size.
The blurring gets more pronounced while using filter size 5, 9 and so on.

of Digital Image Processing for Aptitude test,

250+ TOP MCQs on Representing Digital Images & Answers

Digital Image Processing Multiple Choice Questions on “Representing Digital Images”.

1. Assume that an image f(x, y) is sampled so that the result has M rows and N columns. If the values of the coordinates at the origin are (x, y) = (0, 0), then the notation (0, 1) is used to signify :
A. Second sample along first row
B. First sample along second row
C. First sample along first row
D. Second sample along second row
Answer: A
Clarification: The values of the coordinates at the origin are (x, y) = (0, 0). Then, the next coordinate values (second sample) along the first row of the image are represented as (x, y) = (0, 1).

2. The resulting image of sampling and quantization is considered a matrix of real numbers. By what name(s) the element of this matrix array is called __________
A. Image element or Picture element
B. Pixel or Pel
C. All of the mentioned
D. None of the mentioned
Answer: C
Clarification: Sampling and Quantization of an image f(x, y) forms a matrix of real numbers and each element of this matrix array is commonly known as Image element or Picture element or Pixel or Pel.

3. Let Z be the set of real integers and R the set of real numbers. The sampling process may be viewed as partitioning the x-y plane into a grid, with the central coordinates of each grid being from the Cartesian product Z2, that is a set of all ordered pairs (zi, zj), with zi and zj being integers from Z. Then, f(x, y) is said a digital image if:
A. (x, y) are integers from Z2 and f is a function that assigns a gray-level value (from Z) to each distinct pair of coordinates (x, y)
B. (x, y) are integers from R2 and f is a function that assigns a gray-level value (from R) to each distinct pair of coordinates (x, y)
C. (x, y) are integers from R2 and f is a function that assigns a gray-level value (from Z) to each distinct pair of coordinates (x, y)
D. (x, y) are integers from Z2 and f is a function that assigns a gray-level value (from R) to each distinct pair of coordinates (x, y)
Answer: D
Clarification: In the given condition, f(x, y) is a digital image if (x, y) are integers from Z2 and f a function that assigns a gray-level value (that is, a real number from the set R) to each distinct coordinate pair (x, y).

4. Let Z be the set of real integers and R the set of real numbers. The sampling process may be viewed as partitioning the x-y plane into a grid, with the central coordinates of each grid being from the Cartesian product Z2, that is a set of all ordered pairs (zi, zj), with zi and zj being integers from Z. Then, f(x, y) is a digital image if (x, y) are integers from Z2 and f is a function that assigns a gray-level value (that is, a real number from the set R) to each distinct coordinate pair (x, y). What happens to the digital image if the gray levels also are integers?
A. The Digital image then becomes a 2-D function whose coordinates and amplitude values are integers
B. The Digital image then becomes a 1-D function whose coordinates and amplitude values are integers
C. The gray level can never be integer
D. None of the mentioned
Answer: A
Clarification: In Quantization Process if the gray levels also are integers the Digital image then becomes a 2-D function whose coordinates and amplitude values are integers.

5. The digitization process i.e. the digital image has M rows and N columns, requires decisions about values for M, N, and for the number, L, of gray levels allowed for each pixel. The value M and N have to be:
A. M and N have to be positive integer
B. M and N have to be negative integer
C. M have to be negative and N have to be positive integer
D. M have to be positive and N have to be negative integer
Answer: A
Clarification: The digitization process i.e. the digital image has M rows and N columns, requires decisions about values for M, N, and for the number, L, of max gray level. There are no requirements on M and N, other than that M and N have to be positive integer.

6. The digitization process i.e. the digital image has M rows and N columns, requires decisions about values for M, N, and for the number, L, of max gray levels. There are no requirements on M and N, other than that M and N have to be positive integer. However, the number of gray levels typically is
A. An integer power of 2 i.e. L = 2k
B. A Real power of 2 i.e. L = 2k
C. Two times the integer value i.e. L = 2k
D. None of the mentioned
Answer: A
Clarification: Due to processing, storage, and considering the sampling hardware, the number of gray levels typically is an integer power of 2 i.e. L = 2k.

7. The digitization process i.e. the digital image has M rows and N columns, requires decisions about values for M, N, and for the number, L, of max gray levels is an integer power of 2 i.e. L = 2k, allowed for each pixel. If we assume that the discrete levels are equally spaced and that they are integers then they are in the interval __________ and Sometimes the range of values spanned by the gray scale is called the ________ of an image.
A. [0, L – 1] and static range respectively
B. [0, L / 2] and dynamic range respectively
C. [0, L / 2] and static range respectively
D. [0, L – 1] and dynamic range respectively
Answer: D
Clarification: In digitization process M rows and N columns have to be positive and for the number, L, of discrete gray levels typically an integer power of 2 for each pixel. If we assume that the discrete levels are equally spaced and that they are integers then they lie in the interval [0, L-1] and Sometimes the range of values spanned by the gray scale is called the dynamic range of an image.

8. After digitization process a digital image with M rows and N columns have to be positive and for the number, L, max gray levels i.e. an integer power of 2 for each pixel. Then, the number b, of bits required to store a digitized image is:
A. b=M*N*k
B. b=M*N*L
C. b=M*L*k
D. b=L*N*k
Answer: A
Clarification: In digital image of M rows and N columns and L max gray levels an integer power of 2 for each pixel. The number, b, of bits required to store a digitized image is: b=M*N*k.

9. An image whose gray-levels span a significant portion of gray scale have __________ dynamic range while an image with dull, washed out gray look have __________ dynamic range.
A. Low and High respectively
B. High and Low respectively
C. Both have High dynamic range, irrespective of gray levels span significance on gray scale
D. Both have Low dynamic range, irrespective of gray levels span significance on gray scale
Answer: B
Clarification: An image whose gray-levels signifies a large portion of gray scale have High dynamic range, while that with dull, washed out gray look have Low dynamic range.

10. Validate the statement “When in an Image an appreciable number of pixels exhibit high dynamic range, the image will have high contrast.”
A. True
B. False
Answer: A
Clarification: In an Image if an appreciable number of pixels exhibit high dynamic range property, the image will have high contrast.

11. In digital image of M rows and N columns and L discrete gray levels, calculate the bits required to store a digitized image for M=N=32 and L=16.
A. 16384
B. 4096
C. 8192
D. 512
Answer: B
Clarification: In digital image of M rows and N columns and L max gray levels i.e. an integer power of 2 for each pixel. The number, b, of bits required to store a digitized image is: b=M*N*k.
For L=16, k=4.
i.e. b=4096.

250+ TOP MCQs on Smoothing Nonlinear Spatial Filter & Answers

Digital Image Processing Multiple Choice Questions on “Smoonthing Nonlinear Spatial Filter”.

1. Which of the following filter(s) has the response in which the central pixel value is replaced by value defined by ranking the pixel in the image encompassed by filter?
A. Order-Statistic filters
B. Non-linear spatial filters
C. Median filter
D. All of the mentioned
Answer: D
Clarification: An Order-Statistic filters also called non-linear spatial filters, response is based on ranking the pixel in the image encompassed by filter that replaces the central pixel value. A Median filter is an example of such filters.

2. Is it true or false that “the original pixel value is included while computing the median using gray-levels in the neighborhood of the original pixel in median filter case”?
A. True
B. False
Answer: A
Clarification: A median filter the pixel value is replaced by median of the gray-level in the neighborhood of that pixel and also the original pixel value is included while computing the median.

3. Two filters of similar size are used for smoothing image having impulse noise. One is median filter while the other is a linear spatial filter. Which would the blurring effect of both?
A. Median filter effects in considerably less blurring than the linear spatial filters
B. Median filter effects in considerably more blurring than the linear spatial filters
C. Both have the same blurring effect
D. All of the mentioned
Answer: A
Clarification: For impulse noise, median filter is much effective for noise reduction and causes considerably less blurring than the linear spatial filters.

4. An image contains noise having appearance as black and white dots superimposed on the image. Which of the following noise(s) has the same appearance?
A. Salt-and-pepper noise
B. Gaussian noise
C. All of the mentioned
D. None of the mentioned
Answer: C
Clarification: An impulse noise has an appearance as black and white dots superimposed on the image. This is also known as Salt-and-pepper noise.

5. While performing the median filtering, suppose a 3*3 neighborhood has value (10, 20, 20, 20, 15, 20, 20, 25, 100), then what is the median value to be given to the pixel under filter?
A. 15
B. 20
C. 100
D. 25
Answer: B
Clarification: The values are first sorted and so turns out to (10, 15, 20, 20, 20, 20, 20, 25, and 100). For a 3*3 neighborhood the 5th largest value is the median, and so is 20.

6. Which of the following are forced to the median intensity of the neighbors by n*n median filter?
A. Isolated cluster of pixels that are light or dark in comparison to their neighbors
B. Isolated cluster of pixels whose area is less than one-half the filter area
C. All of the mentioned
D. None of the mentioned
Answer: C
Clarification: The isolated cluster pixel value doesn’t come as a median value and since are either are light or dark as compared to neighbors, so are forced with median intensity of neighbors that aren’t even close to their original value and so are sometimes termed “eliminated”.
If the area of such isolated pixels are < n2/2, that is again the pixel value won’t be a median value and so are eliminated.
Larger cluster pixels value are more pronounced to be a median value, so are considerably less forced to median intensity.

7. Which filter(s) used to find the brightest point in the image?
A. Median filter
B. Max filter
C. Mean filter
D. All of the mentioned
Answer: B
Clarification: A max filter gives the brightest point in an image and so is used.

8. The median filter also represents which of the following ranked set of numbers?
A. 100th percentile
B. 0th percentile
C. 50th percentile
D. None of the mentioned
Answer: C
Clarification: Since the median filter forces median intensity to the pixel which is almost the largest value in the middle of the list of values as per the ranking, so represents a 50th percentile ranked set of numbers.

9. Which of the following filter represents a 0th percentile set of numbers?
A. Max filter
B. Mean filter
C. Median filter
D. None of the mentioned
Answer: D
Clarification: A min filter since provides the minimum value in the image, so represents a 0th percentile set of numbers.

250+ TOP MCQs on Image Sampling and Quantization & Answers

Digital Image Processing Multiple Choice Questions on “Image Sampling and Quantization”.

1. A continuous image is digitised at _______ points.
A. random
B. vertex
C. contour
D. sampling
Answer: D
Clarification: The sampling points are ordered in the plane and their relation is called a Grid.

2. The transition between continuous values of the image function and its digital equivalent is called ______________
A. Quantisation
B. Sampling
C. Rasterisation
D. None of the Mentioned
Answer: A
Clarification: The transition between continuous values of the image function and its digital equivalent is called Quantisation.

3. Images quantised with insufficient brightness levels will lead to the occurrence of ____________
A. Pixillation
B. Blurring
C. False Contours
D. None of the Mentioned
Answer: C
Clarification: This effect arises when the number brightness levels is lower that which the human eye can distinguish.

4. The smallest discernible change in intensity level is called ____________
A. Intensity Resolution
B. Contour
C. Saturation
D. Contrast
Answer: A
Clarification: Number of bits used to quantise intensity of an image is called intensity resolution.

5. What is the tool used in tasks such as zooming, shrinking, rotating, etc.?
A. Sampling
B. Interpolation
C. Filters
D. None of the Mentioned
Answer: B
Clarification: Interpolation is the basic tool used for zooming, shrinking, rotating, etc.

6. The type of Interpolation where for each new location the intensity of the immediate pixel is assigned is ___________
A. bicubic interpolation
B. cubic interpolation
C. bilinear interpolation
D. nearest neighbour interpolation
Answer: D
Clarification: Its called as Nearest Neighbour Interpolation since for each new location the intensity of the next neighbouring pixel is assigned.

7. The type of Interpolation where the intensity of the FOUR neighbouring pixels is used to obtain intensity a new location is called ___________
A. cubic interpolation
B. nearest neighbour interpolation
C. bilinear interpolation
D. bicubic interpolation
Answer: B
Clarification: Bilinear interpolation is where the FOUR neighbouring pixels is used to estimate intensity for a new location.

8. Dynamic range of imaging system is a ratio where the upper limit is determined by
A. Saturation
B. Noise
C. Brightness
D. Contrast
Answer: A
Clarification: Saturation is taken as the Numerator.

9. For Dynamic range ratio the lower limit is determined by
A. Saturation
B. Brightness
C. Noise
D. Contrast
Answer: C
Clarification: Noise is taken as the Denominator.

10. Quantitatively, spatial resolution cannot be represented in which of the following ways
A. line pairs
B. pixels
C. dots
D. none of the Mentioned
Answer: D
Clarification: All the options can be used to represent spatial resolution.