Question

Explain why the discrete histogram equalization technique does not, in general, yield a flat histogram.

Answer 1

Answer:

The discrete equalization process merely remaps one intensity value to another; it does not redistribute the intensity values. This means pixels which have equal intensities will still have equal intensities after the process.

Answer 2

histogram equalization is in general non-invertible.

Step-by-step explanation:

Actually, histogram equalization is in general non-invertible.

In global histogram equalization, it can happen that pixels with different values in the original image are mapped to the same value, and therefore the operation is not invertible.

The discrete histogram equalization technique does not, in general, yield a flat histogram. Equalization is used to get a flat histogram independently of continuous or discrete distribution values, it is still difficult for equalizing the low contrast image.

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Difference between histogram equalization technique and adaptive histogram equalization

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