Image Enhancement in Digital Image Processing MCQ [Free PDF] - Objective Question Answer for Image Enhancement Quiz

31. For pixels p(x, y), q(s, t), the chessboard distance between p and q is defined as:

A. D(p, q) = [(x – s)2 + (y – t)2]1/2
B. D(p, q) = |x – s| + |y – t|
C. D(p, q) = max (|x – s| + |y – t|)
D. None of the mentioned

Answer: C

The chessboard distance for pixels p(x, y), q(s, t) is the D8 distance given by:
D(p, q) = max (|x – s| + |y – t|).

32. The domain that refers to the image plane itself and the domain that refers to the Fourier transform of an image is/are :

A. Spatial domain in both
B. Frequency domain in both
C. Spatial domain and Frequency domain respectively
D. Frequency domain and Spatial domain respectively

Answer: C

The spatial domain itself refers to the image plane, and approaches in this category are based on the direct manipulation of pixels in an image.
Techniques based on Frequency domain processing are based on modifying the Fourier transform of an image.

33. What is the technique for a gray-level transformation function called, if the transformation would be to produce an image of higher contrast than the original by darkening the levels below some gray-level m and brightening the levels above m in the original image.

A. Contouring
B. Contrast stretching
C. Mask processing
D. Point processing

Answer: B

For a gray-level transformation function “s=T(r)”, where r and s are the gray-level of f(x, y) (input image) and g(x, y) (output image) respectively at any point (x, y).

Then the technique, contrast stretching compresses the value of r below m by transforming the function into a narrow range of s, toward black and brightens the value of r above m.

34. For Image Enhancement a general approach is to use a function of values of f (input image) in a predefined neighborhood of (x, y) to determine the value of g (output image) at (x, y). The techniques that use such approaches are called ________

A. Contouring
B. Contrast stretching
C. Mask processing
D. None of the mentioned

Answer: C

The above-mentioned approach is based on the use of masks. A mask is a small m*n 2-D array in which the values of mask coefficients determine the nature of the process and Image Enhancement on such is called Mask Processing or Filtering.

35. Using gray-level transformation, the basic function linearity deals with which of the following transformation?

A. log and inverse-log transformations
B. negative and identity transformations
C. nth and nth root transformations
D. All of Mentioned

Answer: B

For Image Enhancement gray-level transformation shows three basic functions that are:

Linearity for negative and identity transformation Logarithmic for log and inverse-log transformation, and Power-law for nth and nth root transformations.

36. Using gray-level transformation, the basic function Logarithmic deals with which of the following transformation?

A. Log and inverse-log transformations
B. Negative and identity transformations
C. nth and nth root transformations
D. All of Mentioned

Answer: A
For Image Enhancement gray-level transformation shows three basic functions that are:

Linearity for negative and identity transformation

Logarithmic for log and inverse-log transformation

Power-law for nth and nth root transformations.

37. Using gray-level transformation, the basic function power-law deals with which of the following transformation?

A. log and inverse-log transformations
B. negative and identity transformations
C. nth and nth root transformations
D. All of Mentioned

Answer: B

For Image Enhancement gray-level transformation shows three basic functions that are:

Linearity for negative and identity transformation

Logarithmic for log and inverse-log transformation, and

Power-law for nth and nth root transformations.

38. If r is the gray level of the image before processing and s after processing then which expression defines the negative transformation, for the gray level in the range [0, L-1]?

A. s = L – 1 – r
B. s = crᵞ, c, and ᵞ are positive constants
C. s = c log (1 + r), c is a constant and r ≥ 0
D. none of the mentioned

Answer: A

If r is the gray level of the image before processing and s after processing then s = L – 1 – r expression defines the negative transformation, for the gray level in the range [0, L-1]

The expression for negative transformation is given as s = L – 1 – r.

39. If r is the gray level of the image before processing and s after processing then which expression helps to obtain the negative of an image for the gray level in the range [0, L-1]?

A. s = L – 1 – r
B. s = crᵞ, c, and ᵞ are positive constants
C. s = c log (1 + r), c is a constant and r ≥ 0
D. none of the mentioned

Answer: C

If r is the gray level of the image before processing and s after processing then s = c log (1 + r), c is a constant, and r ≥ 0 expression helps to obtain the negative of an image for the gray level in the range [0, L-1].

The expression for log transformation is given as s = c log (1 + r), c is a constant, and r ≥ 0.

40. If r is the gray level of the image before processing and s after processing then which expression defines the power-law transformation, for the gray level in the range [0, L-1]?

A. s = L – 1 – r
B. s = crᵞ, c, and ᵞ are positive constants
C. s = c log (1 + r), c is a constant and r ≥ 0
D. none of the mentioned

Answer: B

If r is the gray level of the image before processing and s after processing then s = crᵞ, c, and ᵞ are positive constants expression defines the power-law transformation, for the gray level in the range [0, L-1]

The expression for power-law transformation is given as s = crᵞ, c and ᵞ are positive constants.

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