# Basic Grey Level Transformation MCQ [Free PDF] – Objective Question Answer for Basic Grey Level Transformation Quiz

1. 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 the mentioned

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.

2. 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 the mentioned

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.

3. 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 the mentioned

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.

4. 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

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.

5. 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

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.

6. 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

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.

7. Which of the following transformations is particularly well suited for enhancing an image with white and gray detail embedded in dark regions of the image, especially when there is more black area in the image.

A. Log transformations
B. Power-law transformations
C. Negative transformations
D. None of the mentioned

Negative transformation reverses the intensity levels in the image and produces an equivalent photographic negative. So, well suited for the above-given condition.

8. Which of the following transformations expands the value of dark pixels while the higher-level values are being compressed?

A. Log transformations
B. Inverse-log transformations
C. Negative transformations
D. None of the mentioned

Log transformation derives a narrow range of gray-level values in the input image to a wider range of gray levels in the output image and does perform the above-given transformation.
The inverse-log is applied for the opposite.

9. Although power-law transformations are considered more versatile than log transformations for compressing gray levels in an image, then, how are log transformations advantageous over power-law transformations?

A. The log transformation compresses the dynamic range of images
B. The log transformations reverse the intensity levels in the images
C. All of the mentioned
D. None of the mentioned

For compressing gray levels in an image, power-law transformation is more versatile than log transformation, but log transformation has an important characteristic of compressing dynamic ranges of pixels having a large variety of values.

10. A typical Fourier Spectrum with spectrum values ranging from 0 to 106, which of the following transformation is better to apply.

A. Log transformations
B. Power-law transformations
C. Negative transformations
D. None of the mentioned