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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.

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

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The process of representing continuous graphics object as a collection of discrete pixel is called Scan Convertion.

Either fog occurs on a day, or it does not. Therefore it is a discrete value.

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The process of representing continuous graphics object as a collection of discrete pixel is called Scan Convertion.

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is occupation decrte or coninus

Either fog occurs on a day, or it does not. Therefore it is a discrete value.

Be Discrete, don't blend in. Otherwise you will love the place.

Discrete.