Podcast
Questions and Answers
Which of the following statements about Histogram Equalization is true?
Which of the following statements about Histogram Equalization is true?
- It decreases the dynamic range of the gray-level in a low-contrast image
- It approximates the PDF of an image by using its histogram (correct)
- It is only applicable to high-contrast images
- It is achieved by having a transformation function that is the Probability Density Function (PDF) of a given image
What is the role of the transformation function in Histogram Equalization?
What is the role of the transformation function in Histogram Equalization?
- To approximate the Probability Density Function (PDF) of an image
- To decrease the dynamic range of the gray-level in a high-contrast image
- To remove the gray-levels from an image
- To increase the dynamic range of the gray-level in a low-contrast image (correct)
What is the relationship between the histogram and PDF of an image in Histogram Equalization?
What is the relationship between the histogram and PDF of an image in Histogram Equalization?
- The histogram is the transformation function of the PDF
- The PDF is the approximation of the histogram
- The PDF is the transformation function of the histogram
- The histogram is the approximation of the PDF (correct)