Question

When the histogram of an image is non-Gaussian in nature, the type of linear contrast enhancement preferred to be used is

• A. Piece-wise Linear Contrast Stretching
• B. Min-max Linear Contrast Stretching
• C. Percentage Linear Contrast Stretching
• D. Standard Deviation Contrast Stretching

Hint:

For non-Gaussian histograms, piece-wise linear contrast stretching helps to improve image contrast by addressing different sections of the histogram separately.

Answer 1

The Correct Option is A

When the histogram of an image is non-Gaussian, piece-wise linear contrast stretching is preferred. This technique divides the image histogram into several intervals and applies different stretching to each interval. This allows for better contrast enhancement in non-uniform histograms.
Step 1: Understanding Contrast Stretching
- Option (A) is correct because piece-wise linear contrast stretching is specifically useful when the histogram is non-Gaussian, allowing for better control over various ranges of pixel values.
- Option (B) refers to min-max linear contrast stretching, which is used for images with uniform histograms, not typically for non-Gaussian images.
- Option (C) refers to percentage linear contrast stretching, which is not commonly used in non-Gaussian histogram enhancement.
- Option (D) refers to standard deviation contrast stretching, which is also not ideal for non-Gaussian histograms. Step 2: Conclusion
The preferred method for non-Gaussian histograms is (A) Piece-wise Linear Contrast Stretching.