Question

The histogram equalization applied to a digital image generally DOES NOT yield a truly uniform histogram of the transformed image due to

• A. \( \text{Discrete nature of pixel values} \)
• B. \( \text{Poor contrast of the original image} \)
• C. \( \text{Low frequency image information} \)
• D. \( \text{Presence of edges} \)

Hint:

Imagine trying to perfectly evenly distribute a limited set of whole numbers – you'll always have some 'clumping'.

Answer 1

The Correct Option is A

Histogram equalization aims to redistribute pixel intensities to produce a more uniform histogram, thereby enhancing contrast. However, a perfectly uniform histogram is generally not achieved in practice due to the discrete nature of pixel values. Since pixel values can only take on a finite number of integer values (typically 0-255 for an 8-bit image), the transformed histogram will also be discrete and may not be perfectly flat.