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Explain why the discrete histogram equalization technique does not generally yield a flat histogram?

Updated: 9/16/2023

Wiki User

12y ago

All that histogram equalization does is remap histogram components on the intensity

scale. To obtain a uniform (­at) histogram would require in general that pixel intensities

be actually redistributed so that there are L groups of n=L pixels with the same intensity,

where L is the number of allowed discrete intensity levels and n is the total number of

pixels in the input image. The histogram equalization method has no provisions for this

type of (arti®cial) redistribution process.

Wiki User

12y ago

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Q: Explain why the discrete histogram equalization technique does not generally yield a flat histogram?
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